Software Alternatives & Reviews
Register   |   Login

Apache Flink VS Spring Framework

Compare Apache Flink VS Spring Framework and see what are their differences


Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

The Spring portfolio has many projects, including Spring Framework, Spring IO Platform, Spring Cloud, Spring Boot, Spring Data, Spring Security...
Apache Flink Landing Page
Apache Flink Landing Page
Spring Framework Landing Page
Spring Framework Landing Page

Apache Flink details

Categories
Big Data Web Framework Databases
Website flink.apache.org  

Spring Framework details

Categories
Web Framework PHP MVC Framework JS Library
Website spring.io  

Apache Flink videos

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

Spring Framework videos

What is the Spring framework really all about?

More videos:

  • - Spring Framework Tutorial | Full Course

Category Popularity

0-100% (relative to Apache Flink and Spring Framework)
100
100%
0%
0
0
0%
100%
100
100
100%
0%
0
0
0%
100%
100

Social recommendations and mentions

We have tracked the following product recommendations or mentions on Reddit and HackerNews. They can help you identify which product is more popular and what people think of it.

Apache Flink mentions

  • 7 Real-Time Data Streaming Tools You Should Consider On Your Next Project
    Apache Flink is another popular open source distributed data streaming engine that performs stateful computations over bounded and unbounded data streams. This framework is written in Scala and Java and is ideal for complex data stream computations. - Source: dev.to / 28 days ago
  • Data Driven Development for Complex Systems, Part 3
    This post continues a series on data-driven development best practices. These are specifically made for software systems with highly complicated integration points, but are applicable to many different situations. This series uses stream processing with Apache Flink for the examples. - Source: dev.to / 10 days ago

Spring Framework mentions

We have not tracked any mentions of Spring Framework yet. Tracking of Spring Framework recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Flink and Spring Framework, you can also consider the following products

Spark - Spark helps you take your inbox under control. Instantly see what’s important and quickly clean up the rest. Spark for Teams allows you to create, discuss, and share email with your colleagues

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Apache Struts - Apache Struts is an open-source web application framework for developing Java EE web applications.

Grails - An Open Source, full stack, web application framework for the JVM

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Eclipse Jetty - Jetty is a highly scalable modular servlet engine and http server that natively supports many modern protocols like SPDY and WebSockets.

User reviews

Share your experience with using Apache Flink and Spring Framework. For example, how are they different and which one is better?

Post a review