Apache Flink Apache Flink
vs
Apache Spark Apache Spark

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

What is 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.

How much does Apache Flink cost?

No pricing information available..

What platforms does Apache Flink support?

Apache Flink is available for Windows , macOS , Linux and BSD .

Top Apache Flink Alternatives

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

Apache Flume

Apache Flume is a free and open source, distributed software for efficiently collecting, aggregating, and moving large amounts of log data. With Apache Flume you can create data pipelines for you log data with a simple and flexible architecture based on streaming data flows. Apache Flume uses a simple extensible data model that allows you to create online analytic applications that are fault tolerant and reliable with many failover and recovery mechanisms.

Free & Open Source

Apache Airflow

Apache Airflow is a community created workflow management platform. The software is both free and open-source, and can be used to reduce complexity in organizations workflow. Apache Airflow is modular by nature, and has an architecture that makes it easy to customize to organizations specific needs. The software was was first developed at Airbnb to where it was used to programmatically author and schedule their workflows, allowing the organization to monitor them via the built-in Airflow dashboard.

Free & Open Source

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

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 Flink Apache Flink 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.

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