vert.x VS Spark Framework

Spark Framework

Spark Framework is a simple and lightweight Java web framework built for rapid development.

Landing page //
2022-06-12

Landing page //
2019-11-24

From Zero to Back End in 45 Minutes with Eclipse Vert.x

Spark Framework videos

No Spark Framework videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to vert.x and Spark Framework)

Spark Framework

Web Frameworks

58 58%

Web Frameworks

42% 42

Python Web Framework

68 68%

Python Web Framework

32% 32

Developer Tools

49 49%

Developer Tools

51% 51

Runtime

57 57%

Runtime

43% 43

User comments

Share your experience with using vert.x and Spark Framework. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare vert.x and Spark Framework

vert.x Reviews

17 Popular Java Frameworks for 2023: Pros, cons, and more

As Vert.x is an event-driven and non-blocking framework, it can handle a lot of concurrencies using only a minimal number of threads. Vert.x is also quite lightweight, with the core framework weighing only about 650 KB. It has a modular architecture that allows you to use only the modules you need so that your app can stay as slick as possible. Vert.x is an ideal choice if...

Source: raygun.com

Spark Framework Reviews

17 Popular Java Frameworks for 2023: Pros, cons, and more

You can get the Spark Framework up and running in just a few minutes. By default, it runs on the Jetty web server that is embedded into the framework. However, you can use it with other Java web servers as well. According to Spark’s own survey, more than 50% of their users used the framework to create REST APIs, which is its most popular use case. Spark also powers...

Source: raygun.com

Social recommendations and mentions

Spark Framework might be a bit more popular than vert.x. We know about 28 links to it since March 2021 and only 26 links to vert.x. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

vert.x mentions (26)

Spark – A web micro framework for Java and Kotlin
Https://vertx.io/ It's actively maintained with full time developers, performant, supports Kotlin out of the box, and has more features? - Source: Hacker News / 3 months ago
Reactive database access on the JVM
Hibernate Reactive integrates with Vert.x, but an extension allows to bridge to Project Reactor if wanted. - Source: dev.to / 10 months ago
What's the state of server-side frameworks with Kotlin support today for small teams?
Personally, I like vertx, it is modular and you can pick and choose what you need. It also has support for kotlin coroutines, https://vertx.io/, https://github.com/vert-x3/vertx-examples/tree/4.x/kotlin-examples. Source: about 1 year ago
Anything close beam/otp for other languages?
I really like Eclipse Vert.x... As both an Erlang dev and Java dev, it's a great synergy and soon to have support for Virtual Threads similar to BEAM. Source: about 1 year ago
Favorite hidden gem library?
Eclipse Vert.x - Add amazing Async to any Java stack. Source: over 1 year ago

Spark Framework mentions (28)

[ Servlet + JSP + JDBC ]
Get a solid grasp of building web applications with Java either using Spring (using Spring Boot) or Spark (if you're also new to Java learning Java and Spring can be a mouthful). Instead of JSP use something Thymeleaf or build the frontend with HTML and JavaScript (and serve the bundles). Source: 5 months ago
What's the language of the startup?
So most of the "tech" stack goes out. In our first startup we created our own web-container by using https://sparkjava.com - and then built a JSR-223 scripting support. Source: 5 months ago
What side-projects did you work on during your university years?
Stack: Java, Spark (not the Apache Spark but this), Kafka, several other libraries like FasterXML's Jackson. Source: 10 months ago
Full Time
The blog is just hugo so it's 100% static files over nginx. The search engine is serverside-rendered mustache templates via handlebars[1], via served via spark[2]. It's basically all vanilla Java. I do raw SQL queries instead of ORM, which makes it quite a bit snappier than most Java applications. The sheer size of the database also mandates that basically every query is a primary key lookup. The code is written... - Source: Hacker News / 11 months ago
Show HN: Java REST without annotations, DI nor reactive streams
Much better! By the way, how does it compare to Spark? https://sparkjava.com/. - Source: Hacker News / 11 months ago