Alternatives to Avro logo

Alternatives to Avro

JSON, Protobuf, gRPC, JavaScript, and Python are the most popular alternatives and competitors to Avro.
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What is Avro and what are its top alternatives?

Apache Avro is a data serialization system that provides compact, fast, and dynamic data exchange. It supports remote procedure calls (RPC) as well as persistent data storage. Avro's key features include rich data structures, compact binary data format, schema evolution support, and interoperation with multiple programming languages. However, it has limitations such as lack of query language support and slower performance compared to other serialization frameworks.

  1. Protobuf: Protobuf is a language-neutral, platform-neutral, extensible mechanism for serializing structured data. Key features include simple interface definition language, efficient binary serialization, and automatic code generation. Pros of Protobuf include high performance and efficient serialization, while cons include less human-readable compared to JSON formats.
  2. Thrift: Thrift is a scalable cross-language framework for service development. It supports multiple languages and customization of data serialization. Key features include efficient binary protocol, code generation tools, and support for various data types. Pros of Thrift include high performance and language interoperability, while cons include complexity in setting up and maintaining.
  3. MessagePack: MessagePack is a fast and compact binary serialization format. It is designed to be efficient in both encoding and decoding. Key features include small size, high performance, and support for various data types. Pros of MessagePack include simplicity and speed, while cons include lack of schema support.
  4. JSON: JSON is a lightweight data interchange format. It is easy for humans to read and write and easy for machines to parse and generate. Key features include simplicity, human readability, and widespread support. Pros of JSON include simplicity and compatibility with web APIs, while cons include larger payload size compared to binary formats.
  5. FlatBuffers: FlatBuffers is an efficient cross-platform serialization library for C++, C#, C, Go, Java, JavaScript, PHP, and Python. Key features include zero-copy deserialization, schema evolution, and direct access to serialized data. Pros of FlatBuffers include high performance and efficient memory usage, while cons include more complex setup compared to other serialization frameworks.
  6. Cap'n Proto: Cap’n Proto is an insanely fast data interchange format and capability-based RPC system. Key features include high speed, minimal memory usage, and language interoperability. Pros of Cap’n Proto include high performance and efficient serialization, while cons include complex schema definitions.
  7. CBOR: CBOR (Concise Binary Object Representation) is a binary encoding format for serialization and data interchange. Key features include conciseness, simplicity, and compatibility with JSON. Pros of CBOR include compact size and richness of data types, while cons include slower performance compared to other binary formats.
  8. Parquet: Apache Parquet is a columnar storage format for the Apache Hadoop ecosystem. It provides efficient data compression and encoding schemes. Key features include columnar storage, predicate pushdown, and schema evolution support. Pros of Parquet include high performance and efficient analytics, while cons include complexity in setting up and maintaining.
  9. MessagePack for C#: MessagePack for C# is a high-performance MessagePack serialization library for C#. Key features include small size, high performance, and compatibility with .NET Standard. Pros of MessagePack for C# include simplicity and fast serialization, while cons include limited language support.
  10. Kryo: Kryo is a fast and efficient Java serialization library. It is designed to be more efficient than Java serialization. Key features include high speed, small size, and support for custom serialization. Pros of Kryo include high performance and easy to use API, while cons include less compatibility with other languages.

Top Alternatives to Avro

  • JSON
    JSON

    JavaScript Object Notation is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language. ...

  • Protobuf
    Protobuf

    Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data – think XML, but smaller, faster, and simpler. ...

  • gRPC
    gRPC

    gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking... ...

  • JavaScript
    JavaScript

    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...

  • Python
    Python

    Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best. ...

  • Node.js
    Node.js

    Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices. ...

  • HTML5
    HTML5

    HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997. ...

  • PHP
    PHP

    Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world. ...

Avro alternatives & related posts

JSON logo

JSON

1.9K
1.6K
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A lightweight data-interchange format
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9
PROS OF JSON
  • 5
    Simple
  • 4
    Widely supported
CONS OF JSON
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    related JSON posts

    Ali Soueidan
    Creative Web Developer at Ali Soueidan · | 18 upvotes · 1.2M views

    Application and Data: Since my personal website ( https://alisoueidan.com ) is a SPA I've chosen to use Vue.js, as a framework to create it. After a short skeptical phase I immediately felt in love with the single file component concept! I also used vuex for state management, which makes working with several components, which are communicating with each other even more fun and convenient to use. Of course, using Vue requires using JavaScript as well, since it is the basis of it.

    For markup and style, I used Pug and Sass, since they’re the perfect match to me. I love the clean and strict syntax of both of them and even more that their structure is almost similar. Also, both of them come with an expanded functionality such as mixins, loops and so on related to their “siblings” (HTML and CSS). Both of them require nesting and prevent untidy code, which can be a huge advantage when working in teams. I used JSON to store data (since the data quantity on my website is moderate) – JSON works also good in combo with Pug, using for loops, based on the JSON Objects for example.

    To send my contact form I used PHP, since sending emails using PHP is still relatively convenient, simple and easy done.

    DevOps: Of course, I used Git to do my version management (which I even do in smaller projects like my website just have an additional backup of my code). On top of that I used GitHub since it now supports private repository for free accounts (which I am using for my own). I use Babel to use ES6 functionality such as arrow functions and so on, and still don’t losing cross browser compatibility.

    Side note: I used npm for package management. 🎉

    *Business Tools: * I use Asana to organize my project. This is a big advantage to me, even if I work alone, since “private” projects can get interrupted for some time. By using Asana I still know (even after month of not touching a project) what I’ve done, on which task I was at last working on and what still is to do. Working in Teams (for enterprise I’d take on Jira instead) of course Asana is a Tool which I really love to use as well. All the graphics on my website are SVG which I have created with Adobe Illustrator and adjusted within the SVG code or by using JavaScript or CSS (SASS).

    See more

    I use Visual Studio Code because at this time is a mature software and I can do practically everything using it.

    • It's free and open source: The project is hosted on GitHub and it’s free to download, fork, modify and contribute to the project.

    • Multi-platform: You can download binaries for different platforms, included Windows (x64), MacOS and Linux (.rpm and .deb packages)

    • LightWeight: It runs smoothly in different devices. It has an average memory and CPU usage. Starts almost immediately and it’s very stable.

    • Extended language support: Supports by default the majority of the most used languages and syntax like JavaScript, HTML, C#, Swift, Java, PHP, Python and others. Also, VS Code supports different file types associated to projects like .ini, .properties, XML and JSON files.

    • Integrated tools: Includes an integrated terminal, debugger, problem list and console output inspector. The project navigator sidebar is simple and powerful: you can manage your files and folders with ease. The command palette helps you find commands by text. The search widget has a powerful auto-complete feature to search and find your files.

    • Extensible and configurable: There are many extensions available for every language supported, including syntax highlighters, IntelliSense and code completion, and debuggers. There are also extension to manage application configuration and architecture like Docker and Jenkins.

    • Integrated with Git: You can visually manage your project repositories, pull, commit and push your changes, and easy conflict resolution.( there is support for SVN (Subversion) users by plugin)

    See more
    Protobuf logo

    Protobuf

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    Google's data interchange format
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    PROS OF PROTOBUF
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      CONS OF PROTOBUF
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        related Protobuf posts

        Joshua Dean Küpper
        CEO at Scrayos UG (haftungsbeschränkt) · | 12 upvotes · 357.2K views

        We've already been monitoring Agones for a few years now, but we only adapted Kubernetes in mid 2021, so we could never use it until then. Transitioning to Kubernetes has overall been a blast. There's definitely a steep learning curve associated with it, but for us, it was certainly worth it. And Agones plays definitely a part in it.

        We previously scheduled our game servers with Docker Compose and Docker Swarm, but that always felt a little brittle and like a really "manual" process, even though everything was already dockerized. For matchmaking, we didn't have any solution yet.

        After we did tons of local testing, we deployed our first production-ready Kubernetes cluster with #kubespray and deployed Agones (with Helm) on it. The installation was very easy and the official chart had just the right amount of knobs for us!

        The aspect, that we were the most stunned about, is how seamless Agones integrates into the Kubernetes infrastructure. It reuses existing mechanisms like the Health Pings and extends them with more resource states and other properties that are unique to game servers. But you're still free to use it however you like: One GameServer per Game-Session, one GameServer for multiple Game-Sessions (in parallel or reusing existing servers), custom allocation mechanisms, webhook-based scaling, ... we didn't run into any dead ends yet.

        One thing, that I was a little worried about in the beginning, was the SDK integration, as there was no official one for Minecraft/Java. And the two available inofficial ones didn't satisfy our requirements for the SDK. Therefore, we went and developed our own SDK and ... it was super easy! Agones does publish their Protobuf files and so we could generate the stubs with #Protoc. The existing documentation regarding Client-SDKs from Agones was a great help in writing our own documentation for the interface methods.

        And they even have excellent tooling for testing your own SDK implementations. With the use of Testcontainers we could just spin up the local SDK testing image for each of the integration tests and could confirm that our SDK is working fine. We discovered a very small inconsistency for one of the interface methods, submitted an issue and a corresponding PR and it was merged within less than 24 hours.

        We've now been using Agones for a few months and it has proven to be very reliable, easy to manage and just a great tool in general.

        See more
        gRPC logo

        gRPC

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        A high performance, open-source universal RPC framework
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        PROS OF GRPC
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          Higth performance
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          The future of API
        • 13
          Easy setup
        • 5
          Contract-based
        • 4
          Polyglot
        • 2
          Garbage
        CONS OF GRPC
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          related gRPC posts

          Noah Zoschke
          Engineering Manager at Segment · | 30 upvotes · 305.7K views

          We just launched the Segment Config API (try it out for yourself here) — a set of public REST APIs that enable you to manage your Segment configuration. Behind the scenes the Config API is built with Go , GRPC and Envoy.

          At Segment, we build new services in Go by default. The language is simple so new team members quickly ramp up on a codebase. The tool chain is fast so developers get immediate feedback when they break code, tests or integrations with other systems. The runtime is fast so it performs great at scale.

          For the newest round of APIs we adopted the GRPC service #framework.

          The Protocol Buffer service definition language makes it easy to design type-safe and consistent APIs, thanks to ecosystem tools like the Google API Design Guide for API standards, uber/prototool for formatting and linting .protos and lyft/protoc-gen-validate for defining field validations, and grpc-gateway for defining REST mapping.

          With a well designed .proto, its easy to generate a Go server interface and a TypeScript client, providing type-safe RPC between languages.

          For the API gateway and RPC we adopted the Envoy service proxy.

          The internet-facing segmentapis.com endpoint is an Envoy front proxy that rate-limits and authenticates every request. It then transcodes a #REST / #JSON request to an upstream GRPC request. The upstream GRPC servers are running an Envoy sidecar configured for Datadog stats.

          The result is API #security , #reliability and consistent #observability through Envoy configuration, not code.

          We experimented with Swagger service definitions, but the spec is sprawling and the generated clients and server stubs leave a lot to be desired. GRPC and .proto and the Go implementation feels better designed and implemented. Thanks to the GRPC tooling and ecosystem you can generate Swagger from .protos, but it’s effectively impossible to go the other way.

          See more
          Dylan Krupp
          Shared insights
          on
          gRPCgRPCGraphQLGraphQL

          I used GraphQL extensively at a previous employer a few years ago and really appreciated the data-driven schema etc alongside the many other benefits it provided. At that time, it seemed like it was set to replace RESTful APIs and many companies were adopting it.

          However, as of late, it seems like interest has been waning for GraphQL as opposed to increasing as I had assumed it would. Am I missing something here? What is the current perspective regarding this technology?

          Currently, I'm working with gRPC and was curious as to the state of everything now.

          See more
          JavaScript logo

          JavaScript

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          Lightweight, interpreted, object-oriented language with first-class functions
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          PROS OF JAVASCRIPT
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            Can be used on frontend/backend
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            It's everywhere
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            Lots of great frameworks
          • 898
            Fast
          • 745
            Light weight
          • 425
            Flexible
          • 392
            You can't get a device today that doesn't run js
          • 286
            Non-blocking i/o
          • 237
            Ubiquitousness
          • 191
            Expressive
          • 55
            Extended functionality to web pages
          • 49
            Relatively easy language
          • 46
            Executed on the client side
          • 30
            Relatively fast to the end user
          • 25
            Pure Javascript
          • 21
            Functional programming
          • 15
            Async
          • 13
            Full-stack
          • 12
            Setup is easy
          • 12
            Future Language of The Web
          • 12
            Its everywhere
          • 11
            Because I love functions
          • 11
            JavaScript is the New PHP
          • 10
            Like it or not, JS is part of the web standard
          • 9
            Expansive community
          • 9
            Everyone use it
          • 9
            Can be used in backend, frontend and DB
          • 9
            Easy
          • 8
            Most Popular Language in the World
          • 8
            Powerful
          • 8
            Can be used both as frontend and backend as well
          • 8
            For the good parts
          • 8
            No need to use PHP
          • 8
            Easy to hire developers
          • 7
            Agile, packages simple to use
          • 7
            Love-hate relationship
          • 7
            Photoshop has 3 JS runtimes built in
          • 7
            Evolution of C
          • 7
            It's fun
          • 7
            Hard not to use
          • 7
            Versitile
          • 7
            Its fun and fast
          • 7
            Nice
          • 7
            Popularized Class-Less Architecture & Lambdas
          • 7
            Supports lambdas and closures
          • 6
            It let's me use Babel & Typescript
          • 6
            Can be used on frontend/backend/Mobile/create PRO Ui
          • 6
            1.6K Can be used on frontend/backend
          • 6
            Client side JS uses the visitors CPU to save Server Res
          • 6
            Easy to make something
          • 5
            Clojurescript
          • 5
            Promise relationship
          • 5
            Stockholm Syndrome
          • 5
            Function expressions are useful for callbacks
          • 5
            Scope manipulation
          • 5
            Everywhere
          • 5
            Client processing
          • 5
            What to add
          • 4
            Because it is so simple and lightweight
          • 4
            Only Programming language on browser
          • 1
            Test
          • 1
            Hard to learn
          • 1
            Test2
          • 1
            Not the best
          • 1
            Easy to understand
          • 1
            Subskill #4
          • 1
            Easy to learn
          • 0
            Hard 彤
          CONS OF JAVASCRIPT
          • 22
            A constant moving target, too much churn
          • 20
            Horribly inconsistent
          • 15
            Javascript is the New PHP
          • 9
            No ability to monitor memory utilitization
          • 8
            Shows Zero output in case of ANY error
          • 7
            Thinks strange results are better than errors
          • 6
            Can be ugly
          • 3
            No GitHub
          • 2
            Slow
          • 0
            HORRIBLE DOCUMENTS, faulty code, repo has bugs

          related JavaScript posts

          Zach Holman

          Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

          But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

          But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

          Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

          See more
          Conor Myhrvold
          Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 12.6M views

          How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

          Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

          Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

          https://eng.uber.com/distributed-tracing/

          (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

          Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

          See more
          Python logo

          Python

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          A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
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          PROS OF PYTHON
          • 1.2K
            Great libraries
          • 962
            Readable code
          • 847
            Beautiful code
          • 788
            Rapid development
          • 690
            Large community
          • 438
            Open source
          • 393
            Elegant
          • 282
            Great community
          • 272
            Object oriented
          • 220
            Dynamic typing
          • 77
            Great standard library
          • 60
            Very fast
          • 55
            Functional programming
          • 49
            Easy to learn
          • 45
            Scientific computing
          • 35
            Great documentation
          • 29
            Productivity
          • 28
            Easy to read
          • 28
            Matlab alternative
          • 24
            Simple is better than complex
          • 20
            It's the way I think
          • 19
            Imperative
          • 18
            Free
          • 18
            Very programmer and non-programmer friendly
          • 17
            Powerfull language
          • 17
            Machine learning support
          • 16
            Fast and simple
          • 14
            Scripting
          • 12
            Explicit is better than implicit
          • 11
            Ease of development
          • 10
            Clear and easy and powerfull
          • 9
            Unlimited power
          • 8
            It's lean and fun to code
          • 8
            Import antigravity
          • 7
            Print "life is short, use python"
          • 7
            Python has great libraries for data processing
          • 6
            Although practicality beats purity
          • 6
            Now is better than never
          • 6
            Great for tooling
          • 6
            Readability counts
          • 6
            Rapid Prototyping
          • 6
            I love snakes
          • 6
            Flat is better than nested
          • 6
            Fast coding and good for competitions
          • 6
            There should be one-- and preferably only one --obvious
          • 6
            High Documented language
          • 5
            Great for analytics
          • 5
            Lists, tuples, dictionaries
          • 4
            Easy to learn and use
          • 4
            Simple and easy to learn
          • 4
            Easy to setup and run smooth
          • 4
            Web scraping
          • 4
            CG industry needs
          • 4
            Socially engaged community
          • 4
            Complex is better than complicated
          • 4
            Multiple Inheritence
          • 4
            Beautiful is better than ugly
          • 4
            Plotting
          • 3
            Many types of collections
          • 3
            Flexible and easy
          • 3
            It is Very easy , simple and will you be love programmi
          • 3
            If the implementation is hard to explain, it's a bad id
          • 3
            Special cases aren't special enough to break the rules
          • 3
            Pip install everything
          • 3
            List comprehensions
          • 3
            No cruft
          • 3
            Generators
          • 3
            Import this
          • 3
            If the implementation is easy to explain, it may be a g
          • 2
            Can understand easily who are new to programming
          • 2
            Batteries included
          • 2
            Securit
          • 2
            Good for hacking
          • 2
            Better outcome
          • 2
            Only one way to do it
          • 2
            Because of Netflix
          • 2
            A-to-Z
          • 2
            Should START with this but not STICK with This
          • 2
            Powerful language for AI
          • 1
            Automation friendly
          • 1
            Sexy af
          • 1
            Slow
          • 1
            Procedural programming
          • 0
            Ni
          • 0
            Powerful
          • 0
            Keep it simple
          CONS OF PYTHON
          • 53
            Still divided between python 2 and python 3
          • 28
            Performance impact
          • 26
            Poor syntax for anonymous functions
          • 22
            GIL
          • 19
            Package management is a mess
          • 14
            Too imperative-oriented
          • 12
            Hard to understand
          • 12
            Dynamic typing
          • 12
            Very slow
          • 8
            Indentations matter a lot
          • 8
            Not everything is expression
          • 7
            Incredibly slow
          • 7
            Explicit self parameter in methods
          • 6
            Requires C functions for dynamic modules
          • 6
            Poor DSL capabilities
          • 6
            No anonymous functions
          • 5
            Fake object-oriented programming
          • 5
            Threading
          • 5
            The "lisp style" whitespaces
          • 5
            Official documentation is unclear.
          • 5
            Hard to obfuscate
          • 5
            Circular import
          • 4
            Lack of Syntax Sugar leads to "the pyramid of doom"
          • 4
            The benevolent-dictator-for-life quit
          • 4
            Not suitable for autocomplete
          • 2
            Meta classes
          • 1
            Training wheels (forced indentation)

          related Python posts

          Conor Myhrvold
          Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 12.6M views

          How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

          Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

          Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

          https://eng.uber.com/distributed-tracing/

          (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

          Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

          See more
          Nick Parsons
          Building cool things on the internet 🛠️ at Stream · | 35 upvotes · 4.3M views

          Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.

          We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)

          We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.

          Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.

          #FrameworksFullStack #Languages

          See more
          Node.js logo

          Node.js

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            Npm
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            Javascript
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            Great libraries
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            High-performance
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            Open source
          • 486
            Great for apis
          • 477
            Asynchronous
          • 423
            Great community
          • 390
            Great for realtime apps
          • 296
            Great for command line utilities
          • 84
            Websockets
          • 83
            Node Modules
          • 69
            Uber Simple
          • 59
            Great modularity
          • 58
            Allows us to reuse code in the frontend
          • 42
            Easy to start
          • 35
            Great for Data Streaming
          • 32
            Realtime
          • 28
            Awesome
          • 25
            Non blocking IO
          • 18
            Can be used as a proxy
          • 17
            High performance, open source, scalable
          • 16
            Non-blocking and modular
          • 15
            Easy and Fun
          • 14
            Easy and powerful
          • 13
            Future of BackEnd
          • 13
            Same lang as AngularJS
          • 12
            Fullstack
          • 11
            Fast
          • 10
            Scalability
          • 10
            Cross platform
          • 9
            Simple
          • 8
            Mean Stack
          • 7
            Great for webapps
          • 7
            Easy concurrency
          • 6
            Typescript
          • 6
            Fast, simple code and async
          • 6
            React
          • 6
            Friendly
          • 5
            Control everything
          • 5
            Its amazingly fast and scalable
          • 5
            Easy to use and fast and goes well with JSONdb's
          • 5
            Scalable
          • 5
            Great speed
          • 5
            Fast development
          • 4
            It's fast
          • 4
            Easy to use
          • 4
            Isomorphic coolness
          • 3
            Great community
          • 3
            Not Python
          • 3
            Sooper easy for the Backend connectivity
          • 3
            TypeScript Support
          • 3
            Blazing fast
          • 3
            Performant and fast prototyping
          • 3
            Easy to learn
          • 3
            Easy
          • 3
            Scales, fast, simple, great community, npm, express
          • 3
            One language, end-to-end
          • 3
            Less boilerplate code
          • 2
            Npm i ape-updating
          • 2
            Event Driven
          • 2
            Lovely
          • 1
            Creat for apis
          • 0
            Node
          CONS OF NODE.JS
          • 46
            Bound to a single CPU
          • 45
            New framework every day
          • 40
            Lots of terrible examples on the internet
          • 33
            Asynchronous programming is the worst
          • 24
            Callback
          • 19
            Javascript
          • 11
            Dependency hell
          • 11
            Dependency based on GitHub
          • 10
            Low computational power
          • 7
            Very very Slow
          • 7
            Can block whole server easily
          • 7
            Callback functions may not fire on expected sequence
          • 4
            Breaking updates
          • 4
            Unstable
          • 3
            Unneeded over complication
          • 3
            No standard approach
          • 1
            Bad transitive dependency management
          • 1
            Can't read server session

          related Node.js posts

          Shared insights
          on
          Node.jsNode.jsGraphQLGraphQLMongoDBMongoDB

          I just finished the very first version of my new hobby project: #MovieGeeks. It is a minimalist online movie catalog for you to save the movies you want to see and for rating the movies you already saw. This is just the beginning as I am planning to add more features on the lines of sharing and discovery

          For the #BackEnd I decided to use Node.js , GraphQL and MongoDB:

          1. Node.js has a huge community so it will always be a safe choice in terms of libraries and finding solutions to problems you may have

          2. GraphQL because I needed to improve my skills with it and because I was never comfortable with the usual REST approach. I believe GraphQL is a better option as it feels more natural to write apis, it improves the development velocity, by definition it fixes the over-fetching and under-fetching problem that is so common on REST apis, and on top of that, the community is getting bigger and bigger.

          3. MongoDB was my choice for the database as I already have a lot of experience working on it and because, despite of some bad reputation it has acquired in the last months, I still believe it is a powerful database for at least a very long list of use cases such as the one I needed for my website

          See more
          Nick Rockwell
          SVP, Engineering at Fastly · | 46 upvotes · 4.1M views

          When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?

          So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.

          React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.

          Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.

          See more
          HTML5 logo

          HTML5

          148.6K
          126.8K
          2.2K
          5th major revision of the core language of the World Wide Web
          148.6K
          126.8K
          + 1
          2.2K
          PROS OF HTML5
          • 447
            New doctype
          • 389
            Local storage
          • 334
            Canvas
          • 285
            Semantic header and footer
          • 240
            Video element
          • 121
            Geolocation
          • 106
            Form autofocus
          • 100
            Email inputs
          • 85
            Editable content
          • 79
            Application caches
          • 10
            Easy to use
          • 9
            Cleaner Code
          • 5
            Easy
          • 4
            Websockets
          • 4
            Semantical
          • 3
            Better
          • 3
            Audio element
          • 3
            Modern
          • 2
            Portability
          • 2
            Semantic Header and Footer, Geolocation, New Doctype
          • 2
            Content focused
          • 2
            Compatible
          • 1
            Very easy to learning to HTML
          CONS OF HTML5
          • 1
            Easy to forget the tags when you're a begginner
          • 1
            Long and winding code

          related HTML5 posts

          Jan Vlnas
          Senior Software Engineer at Mews · | 26 upvotes · 397.8K views
          Shared insights
          on
          HTML5HTML5JavaScriptJavaScriptNext.jsNext.js

          Few years ago we were building a Next.js site with a few simple forms. This required handling forms validation and submission, but instead of picking some forms library, we went with plain JavaScript and constraint validation API in HTML5. This shaved off a few KBs of dependencies and gave us full control over the validation behavior and look. I describe this approach, with its pros and cons, in a blog post.

          See more
          Jonathan Pugh
          Software Engineer / Project Manager / Technical Architect · | 25 upvotes · 3M views

          I needed to choose a full stack of tools for cross platform mobile application design & development. After much research and trying different tools, these are what I came up with that work for me today:

          For the client coding I chose Framework7 because of its performance, easy learning curve, and very well designed, beautiful UI widgets. I think it's perfect for solo development or small teams. I didn't like React Native. It felt heavy to me and rigid. Framework7 allows the use of #CSS3, which I think is the best technology to come out of the #WWW movement. No other tech has been able to allow designers and developers to develop such flexible, high performance, customisable user interface elements that are highly responsive and hardware accelerated before. Now #CSS3 includes variables and flexboxes it is truly a powerful language and there is no longer a need for preprocessors such as #SCSS / #Sass / #less. React Native contains a very limited interpretation of #CSS3 which I found very frustrating after using #CSS3 for some years already and knowing its powerful features. The other very nice feature of Framework7 is that you can even build for the browser if you want your app to be available for desktop web browsers. The latest release also includes the ability to build for #Electron so you can have MacOS, Windows and Linux desktop apps. This is not possible with React Native yet.

          Framework7 runs on top of Apache Cordova. Cordova and webviews have been slated as being slow in the past. Having a game developer background I found the tweeks to make it run as smooth as silk. One of those tweeks is to use WKWebView. Another important one was using srcset on images.

          I use #Template7 for the for the templating system which is a no-nonsense mobile-centric #HandleBars style extensible templating system. It's easy to write custom helpers for, is fast and has a small footprint. I'm not forced into a new paradigm or learning some new syntax. It operates with standard JavaScript, HTML5 and CSS 3. It's written by the developer of Framework7 and so dovetails with it as expected.

          I configured TypeScript to work with the latest version of Framework7. I consider TypeScript to be one of the best creations to come out of Microsoft in some time. They must have an amazing team working on it. It's very powerful and flexible. It helps you catch a lot of bugs and also provides code completion in supporting IDEs. So for my IDE I use Visual Studio Code which is a blazingly fast and silky smooth editor that integrates seamlessly with TypeScript for the ultimate type checking setup (both products are produced by Microsoft).

          I use Webpack and Babel to compile the JavaScript. TypeScript can compile to JavaScript directly but Babel offers a few more options and polyfills so you can use the latest (and even prerelease) JavaScript features today and compile to be backwards compatible with virtually any browser. My favorite recent addition is "optional chaining" which greatly simplifies and increases readability of a number of sections of my code dealing with getting and setting data in nested objects.

          I use some Ruby scripts to process images with ImageMagick and pngquant to optimise for size and even auto insert responsive image code into the HTML5. Ruby is the ultimate cross platform scripting language. Even as your scripts become large, Ruby allows you to refactor your code easily and make it Object Oriented if necessary. I find it the quickest and easiest way to maintain certain aspects of my build process.

          For the user interface design and prototyping I use Figma. Figma has an almost identical user interface to #Sketch but has the added advantage of being cross platform (MacOS and Windows). Its real-time collaboration features are outstanding and I use them a often as I work mostly on remote projects. Clients can collaborate in real-time and see changes I make as I make them. The clickable prototyping features in Figma are also very well designed and mean I can send clickable prototypes to clients to try user interface updates as they are made and get immediate feedback. I'm currently also evaluating the latest version of #AdobeXD as an alternative to Figma as it has the very cool auto-animate feature. It doesn't have real-time collaboration yet, but I heard it is proposed for 2019.

          For the UI icons I use Font Awesome Pro. They have the largest selection and best looking icons you can find on the internet with several variations in styles so you can find most of the icons you want for standard projects.

          For the backend I was using the #GraphCool Framework. As I later found out, #GraphQL still has some way to go in order to provide the full power of a mature graph query language so later in my project I ripped out #GraphCool and replaced it with CouchDB and Pouchdb. Primarily so I could provide good offline app support. CouchDB with Pouchdb is very flexible and efficient combination and overcomes some of the restrictions I found in #GraphQL and hence #GraphCool also. The most impressive and important feature of CouchDB is its replication. You can configure it in various ways for backups, fault tolerance, caching or conditional merging of databases. CouchDB and Pouchdb even supports storing, retrieving and serving binary or image data or other mime types. This removes a level of complexity usually present in database implementations where binary or image data is usually referenced through an #HTML5 link. With CouchDB and Pouchdb apps can operate offline and sync later, very efficiently, when the network connection is good.

          I use PhoneGap when testing the app. It auto-reloads your app when its code is changed and you can also install it on Android phones to preview your app instantly. iOS is a bit more tricky cause of Apple's policies so it's not available on the App Store, but you can build it and install it yourself to your device.

          So that's my latest mobile stack. What tools do you use? Have you tried these ones?

          See more
          PHP logo

          PHP

          144.3K
          81.1K
          4.6K
          A popular general-purpose scripting language that is especially suited to web development
          144.3K
          81.1K
          + 1
          4.6K
          PROS OF PHP
          • 953
            Large community
          • 819
            Open source
          • 767
            Easy deployment
          • 487
            Great frameworks
          • 387
            The best glue on the web
          • 235
            Continual improvements
          • 185
            Good old web
          • 145
            Web foundation
          • 135
            Community packages
          • 125
            Tool support
          • 35
            Used by wordpress
          • 34
            Excellent documentation
          • 29
            Used by Facebook
          • 23
            Because of Symfony
          • 21
            Dynamic Language
          • 17
            Easy to learn
          • 17
            Cheap hosting
          • 15
            Very powerful web language
          • 14
            Awesome Language and easy to implement
          • 14
            Fast development
          • 14
            Because of Laravel
          • 13
            Composer
          • 12
            Flexibility, syntax, extensibility
          • 9
            Easiest deployment
          • 8
            Readable Code
          • 8
            Fast
          • 7
            Short development lead times
          • 7
            Most of the web uses it
          • 7
            Worst popularity quality ratio
          • 7
            Fastestest Time to Version 1.0 Deployments
          • 6
            Simple, flexible yet Scalable
          • 6
            Faster then ever
          • 5
            Open source and large community
          • 4
            Cheap to own
          • 4
            Has the best ecommerce(Magento,Prestashop,Opencart,etc)
          • 4
            Is like one zip of air
          • 4
            Open source and great framework
          • 4
            Large community, easy setup, easy deployment, framework
          • 4
            Easy to use and learn
          • 4
            Easy to learn, a big community, lot of frameworks
          • 4
            Great developer experience
          • 4
            I have no choice :(
          • 2
            Hard not to use
          • 2
            Walk away
          • 2
            Interpreted at the run time
          • 2
            FFI
          • 2
            Safe the planet
          • 2
            Used by STOMT
          • 2
            Fault tolerance
          • 2
            Great flexibility. From fast prototyping to large apps
          • 1
            Simplesaml
          • 1
            Bando
          • 1
            Secure
          • 1
            It can get you a lamborghini
          • 0
            Secure
          CONS OF PHP
          • 22
            So easy to learn, good practices are hard to find
          • 16
            Inconsistent API
          • 8
            Fragmented community
          • 6
            Not secure
          • 3
            No routing system
          • 3
            Hard to debug
          • 2
            Old

          related PHP posts

          Nick Rockwell
          SVP, Engineering at Fastly · | 46 upvotes · 4.1M views

          When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?

          So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.

          React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.

          Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.

          See more
          Simon Reymann
          Senior Fullstack Developer at QUANTUSflow Software GmbH · | 27 upvotes · 5.1M views

          Our whole Node.js backend stack consists of the following tools:

          • Lerna as a tool for multi package and multi repository management
          • npm as package manager
          • NestJS as Node.js framework
          • TypeScript as programming language
          • ExpressJS as web server
          • Swagger UI for visualizing and interacting with the API’s resources
          • Postman as a tool for API development
          • TypeORM as object relational mapping layer
          • JSON Web Token for access token management

          The main reason we have chosen Node.js over PHP is related to the following artifacts:

          • Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
          • Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
          • A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
          • Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
          See more