Alternatives to Serverless AppSync logo

Alternatives to Serverless AppSync

AWS AppSync, JavaScript, Python, Node.js, and HTML5 are the most popular alternatives and competitors to Serverless AppSync.
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What is Serverless AppSync and what are its top alternatives?

Serverless AppSync is a managed service by AWS that allows developers to easily build real-time and data-driven applications with GraphQL. It offers features such as real-time data synchronization, offline data access, flexible authentication, and easy integration with AWS services. However, one limitation is the potential for increased costs as the application scales.

  1. AWS Amplify: AWS Amplify is a comprehensive suite of tools and services for building cloud-powered mobile and web applications. It offers features like a declarative API for building GraphQL schemas, easy integration with AWS resources, and a robust authentication system. Pros include seamless AWS integration, while cons may include a learning curve for beginners.

  2. Hasura: Hasura is an open-source engine that connects to your databases and instantly gives you a real-time GraphQL API. It provides features like auto-generated GraphQL schemas, role-based access control, and event triggers. Pros include easy setup and management of GraphQL APIs, while cons may include limited customization options.

  3. AWS Lambda: AWS Lambda is a serverless computing service that lets you run code without provisioning or managing servers. It features easy scalability, pay-as-you-go pricing, and seamless integration with other AWS services. Pros include cost-effectiveness and scalability, while cons may include limitations on execution time and timeouts.

  4. Prisma: Prisma is a modern database toolkit that makes database access easy with type-safe GraphQL queries. It offers features like schema migrations, database relations, and a powerful data layer API. Pros include strong typing for database queries, while cons may include limited support for certain databases.

  5. Apollo Server: Apollo Server is a community-driven, open-source GraphQL server that works with any GraphQL schema. It provides features like schema generation, built-in data sources, and support for custom plugins. Pros include flexibility in data fetching and response handling, while cons may include additional setup compared to managed services.

  6. Prisma Nexus: Prisma Nexus is a framework for building GraphQL APIs with Prisma and TypeScript. It offers features like code generation, type-safe resolvers, and integrated Prisma client for database access. Pros include type safety and easy schema generation, while cons may include a learning curve for beginners.

  7. AWS API Gateway: AWS API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. It provides features like customizable domain names, throttling, and support for REST and WebSocket APIs. Pros include seamless integration with other AWS services, while cons may include pricing based on API usage.

  8. Prisma Client: Prisma Client is the database access library that makes database access easy with type-safe database queries. It offers features like automatic query execution, pagination support, and data validation. Pros include strong typing and easy query building, while cons may include lack of support for certain databases.

  9. Apollo Federation: Apollo Federation is a service for building a distributed graph of GraphQL APIs. It provides features like schema stitching, distributed data fetching, and flexible data composition. Pros include decoupling of services and seamless integration with Apollo Server, while cons may include increased complexity in managing federated services.

  10. AWS DynamoDB: AWS DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It features features like auto-scaling, backup and restore, and support for multiple data models. Pros include high performance and scalability, while cons may include pricing based on provisioned throughput.

Top Alternatives to Serverless AppSync

  • AWS AppSync
    AWS AppSync

    AWS AppSync automatically updates the data in web and mobile applications in real time, and updates data for offline users as soon as they reconnect. AppSync makes it easy to build collaborative mobile and web applications that deliver responsive, collaborative user experiences. ...

  • 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. ...

  • Java
    Java

    Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere! ...

  • TypeScript
    TypeScript

    TypeScript is a language for application-scale JavaScript development. It's a typed superset of JavaScript that compiles to plain JavaScript. ...

Serverless AppSync alternatives & related posts

AWS AppSync logo

AWS AppSync

199
30
A managed GraphQL service with real-time data and offline programming
199
30
PROS OF AWS APPSYNC
  • 9
    GraphQL
  • 6
    Real-Time
  • 3
    Offline
  • 3
    Apollo
  • 2
    Fully managed and scalable GraphQL Resolver!
  • 2
    Backed by Amazon
  • 2
    BaaS
  • 2
    AWS
  • 1
    Enterprise Security
CONS OF AWS APPSYNC
    Be the first to leave a con

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    JavaScript

    372.6K
    8.1K
    Lightweight, interpreted, object-oriented language with first-class functions
    372.6K
    8.1K
    PROS OF JAVASCRIPT
    • 1.7K
      Can be used on frontend/backend
    • 1.5K
      It's everywhere
    • 1.2K
      Lots of great frameworks
    • 899
      Fast
    • 746
      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
      Future Language of The Web
    • 12
      Its everywhere
    • 12
      Setup is easy
    • 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
      Easy to hire developers
    • 8
      No need to use PHP
    • 8
      Can be used both as frontend and backend as well
    • 8
      For the good parts
    • 8
      Powerful
    • 8
      Most Popular Language in the World
    • 7
      Versitile
    • 7
      It's fun
    • 7
      Nice
    • 7
      Hard not to use
    • 7
      Its fun and fast
    • 7
      Popularized Class-Less Architecture & Lambdas
    • 7
      Agile, packages simple to use
    • 7
      Supports lambdas and closures
    • 7
      Love-hate relationship
    • 7
      Photoshop has 3 JS runtimes built in
    • 7
      Evolution of C
    • 6
      It let's me use Babel & Typescript
    • 6
      Easy to make something
    • 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
    • 5
      Scope manipulation
    • 5
      Client processing
    • 5
      Clojurescript
    • 5
      Promise relationship
    • 5
      Everywhere
    • 5
      What to add
    • 5
      Function expressions are useful for callbacks
    • 5
      Stockholm Syndrome
    • 4
      Only Programming language on browser
    • 4
      Because it is so simple and lightweight
    • 1
      Asda
    • 1
      Love it
    • 1
      Test
    • 1
      Easy to understand
    • 1
      Not the best
    • 1
      Hard to learn
    • 1
      Test2
    • 1
      Subskill #4
    • 1
      Easy to learn
    • 1
      Easy to learn and test
    • 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

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    Conor Myhrvold
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    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)

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    Python logo

    Python

    250.9K
    6.9K
    A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
    250.9K
    6.9K
    PROS OF PYTHON
    • 1.2K
      Great libraries
    • 965
      Readable code
    • 848
      Beautiful code
    • 789
      Rapid development
    • 692
      Large community
    • 439
      Open source
    • 394
      Elegant
    • 283
      Great community
    • 274
      Object oriented
    • 222
      Dynamic typing
    • 78
      Great standard library
    • 62
      Very fast
    • 56
      Functional programming
    • 52
      Easy to learn
    • 47
      Scientific computing
    • 36
      Great documentation
    • 30
      Productivity
    • 29
      Matlab alternative
    • 29
      Easy to read
    • 25
      Simple is better than complex
    • 21
      It's the way I think
    • 20
      Imperative
    • 19
      Very programmer and non-programmer friendly
    • 19
      Free
    • 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
      Fast coding and good for competitions
    • 6
      There should be one-- and preferably only one --obvious
    • 6
      High Documented language
    • 6
      Readability counts
    • 6
      Rapid Prototyping
    • 6
      I love snakes
    • 6
      Now is better than never
    • 6
      Flat is better than nested
    • 6
      Great for tooling
    • 5
      Great for analytics
    • 5
      Web scraping
    • 5
      Lists, tuples, dictionaries
    • 4
      Complex is better than complicated
    • 4
      Socially engaged community
    • 4
      Plotting
    • 4
      Beautiful is better than ugly
    • 4
      Easy to learn and use
    • 4
      Easy to setup and run smooth
    • 4
      Simple and easy to learn
    • 4
      Multiple Inheritence
    • 4
      CG industry needs
    • 3
      List comprehensions
    • 3
      Powerful language for AI
    • 3
      Flexible and easy
    • 3
      It is Very easy , simple and will you be love programmi
    • 3
      Many types of collections
    • 3
      If the implementation is easy to explain, it may be a g
    • 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
      No cruft
    • 3
      Generators
    • 3
      Import this
    • 2
      Can understand easily who are new to programming
    • 2
      Securit
    • 2
      Should START with this but not STICK with This
    • 2
      A-to-Z
    • 2
      Because of Netflix
    • 2
      Only one way to do it
    • 2
      Better outcome
    • 2
      Good for hacking
    • 2
      Batteries included
    • 2
      Procedural programming
    • 1
      Sexy af
    • 1
      Automation friendly
    • 1
      Slow
    • 1
      Best friend for NLP
    • 0
      Powerful
    • 0
      Keep it simple
    • 0
      Ni
    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)

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    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)

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    Hi, I have an LMS application, currently developed in Python-Django.

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    What do you think about TensorFlow?

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    Node.js logo

    Node.js

    193.5K
    8.5K
    A platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
    193.5K
    8.5K
    PROS OF NODE.JS
    • 1.4K
      Npm
    • 1.3K
      Javascript
    • 1.1K
      Great libraries
    • 1K
      High-performance
    • 805
      Open source
    • 487
      Great for apis
    • 477
      Asynchronous
    • 425
      Great community
    • 390
      Great for realtime apps
    • 296
      Great for command line utilities
    • 86
      Websockets
    • 84
      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

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    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

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    HTML5 logo

    HTML5

    153.8K
    2.2K
    5th major revision of the core language of the World Wide Web
    153.8K
    2.2K
    PROS OF HTML5
    • 448
      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
      Audio element
    • 3
      Content focused
    • 3
      Better
    • 3
      Modern
    • 2
      Compatible
    • 2
      Very easy to learning to HTML
    • 2
      Semantic Header and Footer, Geolocation, New Doctype
    • 2
      Portability
    CONS OF HTML5
    • 2
      Easy to forget the tags when you're a begginner
    • 1
      Long and winding code

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    Jan Vlnas
    Senior Software Engineer at Mews · | 26 upvotes · 487.2K views
    Shared insights
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    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.

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    PHP logo

    PHP

    146.6K
    4.6K
    A popular general-purpose scripting language that is especially suited to web development
    146.6K
    4.6K
    PROS OF PHP
    • 954
      Large community
    • 820
      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
      Most of the web uses it
    • 7
      Short development lead times
    • 7
      Worst popularity quality ratio
    • 7
      Fastestest Time to Version 1.0 Deployments
    • 6
      Faster then ever
    • 6
      Simple, flexible yet Scalable
    • 5
      Open source and large community
    • 4
      Easy to use and learn
    • 4
      Great developer experience
    • 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
      Cheap to own
    • 4
      Easy to learn, a big community, lot of frameworks
    • 4
      I have no choice :(
    • 2
      Hard not to use
    • 2
      Great flexibility. From fast prototyping to large apps
    • 2
      Interpreted at the run time
    • 2
      Walk away
    • 2
      FFI
    • 2
      Safe the planet
    • 2
      Used by STOMT
    • 2
      Fault tolerance
    • 1
      Simplesaml
    • 1
      Secure
    • 1
      It can get you a lamborghini
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      Bando
    • 0
      Secure
    • 0
      Largr community
    CONS OF PHP
    • 21
      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

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    Nick Rockwell
    SVP, Engineering at Fastly · | 46 upvotes · 4.4M 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.

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    Hello, I am building a website for a school that's used by students to find Zoom meeting links, view their marks, and check course materials. It is also used by the teachers to put the meeting links, students' marks, and course materials.

    I created a similar website using HTML, CSS, PHP, and MySQL. Now I want to implement this project using some frameworks: Next.js, ExpressJS and use PostgreSQL instead of MYSQL

    I want to have some advice on whether these are enough to implement my project.

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    Java logo

    Java

    138.8K
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    A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
    138.8K
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    PROS OF JAVA
    • 607
      Great libraries
    • 446
      Widely used
    • 401
      Excellent tooling
    • 396
      Huge amount of documentation available
    • 334
      Large pool of developers available
    • 209
      Open source
    • 203
      Excellent performance
    • 158
      Great development
    • 150
      Used for android
    • 148
      Vast array of 3rd party libraries
    • 61
      Compiled Language
    • 53
      Used for Web
    • 47
      High Performance
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      Managed memory
    • 45
      Native threads
    • 43
      Statically typed
    • 35
      Easy to read
    • 33
      Great Community
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      Reliable platform
    • 24
      JVM compatibility
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      Sturdy garbage collection
    • 22
      Cross Platform Enterprise Integration
    • 20
      Good amount of APIs
    • 20
      Universal platform
    • 18
      Great Support
    • 14
      Great ecosystem
    • 11
      Lots of boilerplate
    • 11
      Backward compatible
    • 10
      Everywhere
    • 9
      Excellent SDK - JDK
    • 8
      It's Java
    • 7
      Static typing
    • 7
      Cross-platform
    • 6
      Mature language thus stable systems
    • 6
      Better than Ruby
    • 6
      Long term language
    • 6
      Portability
    • 5
      Vast Collections Library
    • 5
      Clojure
    • 5
      Used for Android development
    • 4
      Most developers favorite
    • 4
      Old tech
    • 4
      Best martial for design
    • 3
      Javadoc
    • 3
      History
    • 3
      Testable
    • 3
      Great Structure
    • 3
      Stable platform, which many new languages depend on
    • 2
      Type Safe
    • 2
      Faster than python
    • 1
      Makes code organized
    • 0
      Job
    CONS OF JAVA
    • 33
      Verbosity
    • 27
      NullpointerException
    • 17
      Nightmare to Write
    • 16
      Overcomplexity is praised in community culture
    • 12
      Boiler plate code
    • 8
      Classpath hell prior to Java 9
    • 6
      No REPL
    • 4
      No property
    • 3
      Code are too long
    • 2
      Non-intuitive generic implementation
    • 2
      There is not optional parameter
    • 2
      Floating-point errors
    • 1
      Java's too statically, stronglly, and strictly typed
    • 1
      Returning Wildcard Types
    • 1
      Terrbible compared to Python/Batch Perormence

    related Java posts

    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 13.3M 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

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    Kamil Kowalski
    Lead Architect at Fresha · | 28 upvotes · 4.2M views

    When you think about test automation, it’s crucial to make it everyone’s responsibility (not just QA Engineers'). We started with Selenium and Java, but with our platform revolving around Ruby, Elixir and JavaScript, QA Engineers were left alone to automate tests. Cypress was the answer, as we could switch to JS and simply involve more people from day one. There's a downside too, as it meant testing on Chrome only, but that was "good enough" for us + if really needed we can always cover some specific cases in a different way.

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    TypeScript

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    A superset of JavaScript that compiles to clean JavaScript output
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    PROS OF TYPESCRIPT
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      More intuitive and type safe javascript
    • 105
      Type safe
    • 80
      JavaScript superset
    • 48
      The best AltJS ever
    • 27
      Best AltJS for BackEnd
    • 15
      Powerful type system, including generics & JS features
    • 11
      Compile time errors
    • 11
      Nice and seamless hybrid of static and dynamic typing
    • 10
      Aligned with ES development for compatibility
    • 7
      Angular
    • 7
      Structural, rather than nominal, subtyping
    • 5
      Starts and ends with JavaScript
    • 1
      Garbage collection
    CONS OF TYPESCRIPT
    • 5
      Code may look heavy and confusing
    • 4
      Hype

    related TypeScript posts

    Yshay Yaacobi

    Our first experience with .NET core was when we developed our OSS feature management platform - Tweek (https://github.com/soluto/tweek). We wanted to create a solution that is able to run anywhere (super important for OSS), has excellent performance characteristics and can fit in a multi-container architecture. We decided to implement our rule engine processor in F# , our main service was implemented in C# and other components were built using JavaScript / TypeScript and Go.

    Visual Studio Code worked really well for us as well, it worked well with all our polyglot services and the .Net core integration had great cross-platform developer experience (to be fair, F# was a bit trickier) - actually, each of our team members used a different OS (Ubuntu, macos, windows). Our production deployment ran for a time on Docker Swarm until we've decided to adopt Kubernetes with almost seamless migration process.

    After our positive experience of running .Net core workloads in containers and developing Tweek's .Net services on non-windows machines, C# had gained back some of its popularity (originally lost to Node.js), and other teams have been using it for developing microservices, k8s sidecars (like https://github.com/Soluto/airbag), cli tools, serverless functions and other projects...

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    Adebayo Akinlaja
    Engineering Manager at Andela · | 30 upvotes · 3.6M views

    I picked up an idea to develop and it was no brainer I had to go with React for the frontend. I was faced with challenges when it came to what component framework to use. I had worked extensively with Material-UI but I needed something different that would offer me wider range of well customized components (I became pretty slow at styling). I brought in Evergreen after several sampling and reads online but again, after several prototype development against Evergreen—since I was using TypeScript and I had to import custom Type, it felt exhaustive. After I validated Evergreen with the designs of the idea I was developing, I also noticed I might have to do a lot of styling. I later stumbled on Material Kit, the one specifically made for React . It was promising with beautifully crafted components, most of which fits into the designs pages I had on ground.

    A major problem of Material Kit for me is it isn't written in TypeScript and there isn't any plans to support its TypeScript version. I rolled up my sleeve and started converting their components to TypeScript and if you'll ask me, I am still on it.

    In summary, I used the Create React App with TypeScript support and I am spending some time converting Material Kit to TypeScript before I start developing against it. All of these components are going to be hosted on Bit.

    If you feel I am crazy or I have gotten something wrong, I'll be willing to listen to your opinion. Also, if you want to have a share of whatever TypeScript version of Material Kit I end up coming up with, let me know.

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