Apache Kafka Apache Kafka
vs
Apache Spark Apache Spark

This is a side by side comparison of Apache Kafka and Apache Spark. Two products that are similar in nature, yet provide unique feature-sets that are worth taking in to account before making a purchasing decision or start using the software. This page can help you broadly analyze the products and weigh pros and cons against one another. Allowing you scrutinize peoples opinions about Apache Kafka and Apache Spark, before making a decision if any of the products fit your use-case.

What is Apache Kafka?

Trusted by more than 80% of all Fortune 100 companies. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. The software is used for both real-time and batch data processing, and is the chosen event log technology for Amadeus microservice-based streaming applications. Apache Kafka is also used for operational use cases such as application and service logs collection.

How much does Apache Kafka cost?

No pricing information available..

What platforms does Apache Kafka support?

Apache Kafka is available for .

Top Apache Kafka Alternatives

Raygun

Raygun is an application monitoring and performance insight tool that helps you and your team to proactively find, diagnose and fix software errors and performance problems. Raygun is trusted by thousands of innovative organizations that use the tool to ship better experiences to their customers.

Commercial & Proprietary

Sentry

Over 1 million developers across 60,000 organization use Sentry to diagnose, fix, and optimize the performance of their code. Sentry is a commerical application monitoring platform that allow them to ship better software faster. 

Free , Freemium & Open Source

RabbitMQ

With RabbitMQ your applications gets a common platform to send and receive messages, and your messages a safe place to live until received. Allowing your application to handle long-running or blocking tasks, and respond quickly to requests instead of being forced to perform computationally intensive tasks on the spot. The software is developed and released as open-source and is currently the most widley used free and open-source message-broker. Commercial, enterprise releases of RabbitMQ is also avalible for a subscription fee.

Free , Commercial & Open Source

The software Apache Spark Apache Spark is removed from the Top Apache Kafka Alternatives since you are comparing against it. If you are looking for more software, applications or projects similar to Apache Kafka Apache Kafka we recommend you to check out our full list containing 5 Apache Kafka Alternatives.

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What is Apache Spark?

Apache Spark is a free and open-source, unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. With Apache Spark, you can write application quickly in Java, Scala, Python, R, and SQL. Spark also offers over 80 high-level operators that make it easy to build parallel apps. You can run Apache Spark anywhere, as a standalone product, in the cloud or on Hadoop, Apache Mesos or Kubernetes.

How much does Apache Spark cost?

No pricing information available..

What platforms does Apache Spark support?

Apache Spark is available for Windows , macOS and Linux .

Top Apache Spark Alternatives

Apache Flink

Apache Flink is a free and open-source stream framework used for processing big data. The software is developed openly by the Apache Software Foundation and the community. The core of Apache Flink is written in Java and Scala as a distributed streaming data-flow engine. Data-flows executed by Flink programs are pipelined and run parallel to maximize efficiency.

Free & Open Source
👍 Most people think Apache Flink is a good alternative to Apache Spark.

Apache Storm

Apache Storm makes it easy to reliably process unbounded streams of data for real-time processing. It is a distributed stream processing computation framework written predominantly in the programming language Clojure. The software is released free and open-source under the Apache License. In a nutshell, Apache Storm does to real-time processing, what Apache Hadoop did to bactch processing. Large corporations like Weather Channel, FullContact, Twitter, Yahoo, Spotify, and Alibaba use and trust Apache Storm for big data analytics with fault-tolerance and fast data processing.

Free & Open Source
👍 Most people think Apache Storm is a good alternative to Apache Spark.

Apache Hadoop

Apache Hadoop is a free and open source software library that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Apache Hadoop is designed to scale well, from single servers to thousands of machines offering local computation and storage. With Apache Hadoop you can store any kind of data and utilize the enormous processing power with the ability to handle virtually limitless concurrent tasks or jobs.

Free & Open Source

The software Apache Kafka Apache Kafka is removed from the Top Apache Spark Alternatives since you are comparing against it. If you are looking for more software, applications or projects similar to Apache Spark Apache Spark we recommend you to check out our full list containing 5 Apache Spark Alternatives.

Apache Spark Gallery