
Apache Flink
Apache Kafka
Apache Storm
Apache Spark
Apache NiFi
Confluent
KSQL
Apache Kafka: A Distributed Streaming Platform.

Managed Hosting for developers, entrepreneurs, and businesses like yours
Which is more popular?
Based on our record, Kafka Streams seems to be more popular. It has been mentioned 16 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | kafka.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.


No analysis of Kafka Streams yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?
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 Kafka Streams and Opalstack. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


You have an orders topic on a Kafka cluster, its values encoded with Avro against a schema in the Schema Registry. You want the orders worth more than fifty euros on a topic of their own, and you have decided to do it with Kafka Streams... - Source: dev.to / 10 days ago
Kafka Streams is a lightweight Java library that runs inside your application, processing events as they flow through Kafka topics. More importantly, it allows us to maintain state locally. - Source: dev.to / 5 months ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools... - Source: dev.to / over 2 years ago
Tracking Opalstack since Sep 2023.
When comparing Kafka Streams and Opalstack, you can also consider the following products.

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Compare Apache Flink to Kafka Streams or Opalstack:

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

Apache Storm is a free and open source distributed realtime computation system.
Compare Apache Storm to Kafka Streams or Opalstack:

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 Kafka Streams or Opalstack:

An easy to use, powerful, and reliable system to process and distribute data.
Compare Apache NiFi to Kafka Streams or Opalstack:

Confluent offers a real-time data platform built around Apache Kafka.
Compare Confluent to Kafka Streams or Opalstack: