Apache Kafka VS Apache Spark

Compare Apache Kafka vs Apache Spark and see what are their differences.

Apache Spark

Apache Spark - A unified analytics engine for large-scale data processing (by apache)
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Apache Kafka Apache Spark
26 101
27,335 38,320
1.5% 1.1%
9.9 10.0
1 day ago 7 days ago
Java Scala
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Apache Kafka

Posts with mentions or reviews of Apache Kafka. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-05.

Apache Spark

Posts with mentions or reviews of Apache Spark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-11.

What are some alternatives?

When comparing Apache Kafka and Apache Spark you can also consider the following projects:

celery - Distributed Task Queue (development branch)

Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Apache ActiveMQ Artemis - Mirror of Apache ActiveMQ Artemis

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

jetstream - JetStream Utilities

Scalding - A Scala API for Cascading

Aeron - Efficient reliable UDP unicast, UDP multicast, and IPC message transport

mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services

NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.

luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.