Apache Spark Apache Spark
vs
Apache Hadoop Apache Hadoop

This is a side by side comparison of Apache Spark and Apache Hadoop. 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 Spark and Apache Hadoop, before making a decision if any of the products fit your use-case.

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.

n8n

n8n is a free and open node-based Workflow Automation Tool. n8n can be self-hosted, while also being provided as a managed sulotion at n8n.io. The software can easily be extended and integrated with popular third-party services such as Github, Slack and many more.

Free , Commercial & Open Source

The software Apache Hadoop Apache Hadoop 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

What is 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.

How much does Apache Hadoop cost?

No pricing information available..

What platforms does Apache Hadoop support?

Apache Hadoop is available for Self-Hosted .

Top Apache Hadoop 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

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

The software Apache Spark Apache Spark is removed from the Top Apache Hadoop Alternatives since you are comparing against it. If you are looking for more software, applications or projects similar to Apache Hadoop Apache Hadoop we recommend you to check out our full list containing 3 Apache Hadoop Alternatives.

Apache Hadoop Gallery