What is Vert.x and what are its top alternatives?
Top Alternatives to Vert.x
- Spring
A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments. ...
- Akka
Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM. ...
- RxJava
A library for composing asynchronous and event-based programs by using observable sequences for the Java VM. ...
- Netty
Netty is a NIO client server framework which enables quick and easy development of network applications such as protocol servers and clients. It greatly simplifies and streamlines network programming such as TCP and UDP socket server. ...
- Ktor
It is a framework for building asynchronous servers and clients in connected systems using the Kotlin programming language. ...
- Micronaut Framework
It is a modern, JVM-based, full-stack framework for building modular, easily testable microservice and serverless applications. It features a Dependency Injection and Aspect-Oriented Programming runtime that uses no reflection. ...
- Quarkus
It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot. ...
- Apache Tomcat
Apache Tomcat powers numerous large-scale, mission-critical web applications across a diverse range of industries and organizations. ...
Vert.x alternatives & related posts
Spring
- Java230
- Open source157
- Great community136
- Very powerful123
- Enterprise114
- Lot of great subprojects64
- Easy setup60
- Convention , configuration, done44
- Standard40
- Love the logic31
- Good documentation13
- Dependency injection11
- Stability11
- MVC9
- Easy6
- Makes the hard stuff fun & the easy stuff automatic3
- Strong typing3
- Code maintenance2
- Best practices2
- Maven2
- Great Desgin2
- Easy Integration with Spring Security2
- Integrations with most other Java frameworks2
- Java has more support and more libraries1
- Supports vast databases1
- Large ecosystem with seamless integration1
- OracleDb integration1
- Live project1
- Draws you into its own ecosystem and bloat15
- Poor documentation4
- Verbose configuration3
- Java3
- Java is more verbose language in compare to python2
- Very difficult1
related Spring posts
Is learning Spring and Spring Boot for web apps back-end development is still relevant in 2021? Feel free to share your views with comparison to Django/Node.js/ ExpressJS or other frameworks.
Please share some good beginner resources to start learning about spring/spring boot framework to build the web apps.
I am consulting for a company that wants to move its current CubeCart e-commerce site to another PHP based platform like PrestaShop or Magento. I was interested in alternatives that utilize Node.js as the primary platform. I currently don't know PHP, but I have done full stack dev with Java, Spring, Thymeleaf, etc.. I am just unsure that learning a set of technologies not commonly used makes sense. For example, in PrestaShop, I would need to work with JavaScript better and learn PHP, Twig, and Bootstrap. It seems more cumbersome than a Node JS system, where the language syntax stays the same for the full stack. I am looking for thoughts and advice on the relevance of PHP skillset into the future AND whether the Node based e-commerce open source options can compete with Magento or Prestashop.
- Great concurrency model32
- Fast17
- Actor Library12
- Open source10
- Resilient7
- Message driven5
- Scalable5
- Mixing futures with Akka tell is difficult3
- Closing of futures2
- No type safety2
- Very difficult to refactor1
- Typed actors still not stable1
related Akka posts
To solve the problem of scheduling and executing arbitrary tasks in its distributed infrastructure, PagerDuty created an open-source tool called Scheduler. Scheduler is written in Scala and uses Cassandra for task persistence. It also adds Apache Kafka to handle task queuing and partitioning, with Akka to structure the library’s concurrency.
The service’s logic schedules a task by passing it to the Scheduler’s Scala API, which serializes the task metadata and enqueues it into Kafka. Scheduler then consumes the tasks, and posts them to Cassandra to prevent data loss.
I decided to use Akka instead of Kafka streams because I have personal relationships at @Lightbend.
- Reactive Libraries as per Reactive Manifesto1
related RxJava posts
- High Performance9
- Easy to use4
- Just like it3
- Easy to learn1
- Limited resources to learn from2
related Netty posts
We use GraphQL for the communication between our Minecraft-Proxies/Load-Balancers and our global Minecraft-Orchestration-Service JCOverseer.
This connection proved to be especially challenging, as there were so many available options and very specific requirements and we tried our hardest to put as little complexity into this interface as possible.
Initially we considered designing our very own Netty based Packet-Protocol. While the performance of this approach probably would've been noteworthy, we would have had to write a lot of packets as the individual payloads would differ a lot and for the protocol specification a new project would've been needed, so we scrapped that idea.
Our second idea was to use a combination of Redis Key/Value store (in particular the ability to write whole, complex sets as the values of keys) for existing data, Redis Pub-Sub for the synchronization of new/changed/deleted data and a Vert.x based REST API for the mutation requests of the clients. While this would certainly have been possible, we decided against it, as redis offers no real other data types than strings and typing was important to us.
So we finally settled for GraphQL as it would allow us to define dynamic queries and mutations and additionally has subscriptions in store, so we would only need one component instead of three separate. The proxies register as subscribers to the server changes channel and fetch the current data set in advance. If they need to request changes, this is done through a mutation in GraphQL aswell.
The status of the invidiual servers is fetched through Docker healthchecks and a Docker client in the orchestration service, that subscribes to changed HEALTHINESS values in docker. If a service becomes unhealthy it is unregistered and synchronized through GraphQL. The healthcheck is comparable to a ping packet that expects a response in a given time frame.
- Simple & Small9
- Kotlin native8
- Light weight7
- High performance3
- Not self-explanatory: relies on Kotlin "magic"2
- Relatively fresh technology - not a lot of expertise2
related Ktor posts
We are going to develop a Carrier Advisor Application based on the AI And ML predictions. for this which backed language (ExpressJS or Ktor) is better to use?
- Compilable to machine code12
- Tiny memory footprint8
- Open source7
- Almost instantaneous startup7
- Tiny compiled code size6
- High Escalability4
- Minimal overhead2
- Hasn't Servlet API2
- Simplified reactive programming2
- Serverless support1
- Jakarta EE1
- No hot reload3
related Micronaut Framework posts
Quarkus
- Fast startup13
- Open source13
- Low memory footprint11
- Integrated with GraalVM10
- Produce native code10
- Hot Reload9
- AOT compilation7
- Reactive6
- Boilerplate code when using Reflection2
related Quarkus posts
We are working on a transaction processing application and everything needs to happen in real-time. I have used AWS Lambda with Quarkus + Java, and struggled with cold start time however Lambda is still cost effective. so wanted to understand which one will be suitable as alternative to lambda services.
We use Quarkus with native compilation in GraalVM for our global REST-API "Charon", that can be used by every developer to request user, server and game-data (protected through OAuth2). Quarkus offers a reliable framework, library and stack for high-quality APIs and integrates Vert.x into its core.
GraalVM pushes the performance boundaries even further with the ability to perform ahead-of-time native compilation so we can reach an incredible small memory-footprint and fast bootup-times that we need for our microservices architecture.
Apache Tomcat
- Easy79
- Java72
- Popular49
- Spring web1
- Blocking - each http request block a thread3
- Easy to set up2
related Apache Tomcat posts
I need some advice to choose an engine for generation web pages from the Spring Boot app. Which technology is the best solution today? 1) JSP + JSTL 2) Apache FreeMarker 3) Thymeleaf Or you can suggest even other perspective tools. I am using Spring Boot, Spring Web, Spring Data, Spring Security, PostgreSQL, Apache Tomcat in my project. I have already tried to generate pages using jsp, jstl, and it went well. However, I had huge problems via carrying already created static pages, to jsp format, because of syntax. Thanks.