
Apache Spark
Spring Framework
Spark Mail
Amazon Kinesis
Apache Kafka
Grails
Apache Struts
Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Managed Hosting for developers, entrepreneurs, and businesses like yours

Which is more popular?
Based on our record, Apache Flink seems to be more popular. It has been mentioned 46 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | flink.apache.org | opalstack.com |
| Pricing | ||
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger
More videos
No Opalstack videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Apache Flink and Opalstack. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVM—such as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data... - Source: dev.to / 5 months ago
In the meantime, other query engine support is on the roadmap, including Apache Spark, Apache Flink, and others. - Source: dev.to / about 1 year ago
Many stream processing systems today still rely on local disks and RocksDB to manage state. This model has been around for a while and works fine in simple, single-tenant setups. Apache Flink, for example, uses RocksDB as its default... - Source: dev.to / about 1 year ago
Tracking Opalstack since Sep 2023.
When comparing Apache Flink and Opalstack, you can also consider the following products.

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Compare Apache Spark to Apache Flink or Opalstack:

The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
Compare Spring Framework to Apache Flink or Opalstack:

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
Compare Spark Mail to Apache Flink or Opalstack:

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Compare Amazon Kinesis to Apache Flink or Opalstack:

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Compare Apache Kafka to Apache Flink or Opalstack:

An Open Source, full stack, web application framework for the JVM
Compare Grails to Apache Flink or Opalstack: