Lightning-fast unified analytics engine

This page tracks external software projects that supplement Apache Spark and add to its ecosystem.

To add a project, open a pull request against the spark-website repository. Add an entry to this markdown file, then run jekyll build to generate the HTML too. Include both in your pull request. See the README in this repo for more information.

Note that all project and product names should follow trademark guidelines.

spark-packages.org

spark-packages.org is an external, community-managed list of third-party libraries, add-ons, and applications that work with Apache Spark. You can add a package as long as you have a GitHub repository.

Infrastructure Projects

  • REST Job Server for Apache Spark - REST interface for managing and submitting Spark jobs on the same cluster (see blog post for details)
  • MLbase - Machine Learning research project on top of Spark
  • Apache Mesos - Cluster management system that supports running Spark
  • Alluxio (née Tachyon) - Memory speed virtual distributed storage system that supports running Spark
  • FiloDB - a Spark integrated analytical/columnar database, with in-memory option capable of sub-second concurrent queries
  • ElasticSearch - Spark SQL Integration
  • Zeppelin - Multi-purpose notebook which supports 20+ language backends, including Apache Spark
  • EclairJS - enables Node.js developers to code against Spark, and data scientists to use Javascript in Jupyter notebooks.
  • Mist - Serverless proxy for Spark cluster (spark middleware)
  • K8S Operator for Apache Spark - Kubernetes operator for specifying and managing the lifecycle of Apache Spark applications on Kubernetes.
  • IBM Spectrum Conductor - Cluster management software that integrates with Spark and modern computing frameworks.

Applications Using Spark

  • Apache Mahout - Previously on Hadoop MapReduce, Mahout has switched to using Spark as the backend
  • Apache MRQL - A query processing and optimization system for large-scale, distributed data analysis, built on top of Apache Hadoop, Hama, and Spark
  • BlinkDB - a massively parallel, approximate query engine built on top of Shark and Spark
  • Spindle - Spark/Parquet-based web analytics query engine
  • Thunderain - a framework for combining stream processing with historical data, think Lambda architecture
  • DF from Ayasdi - a Pandas-like data frame implementation for Spark
  • Oryx - Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
  • ADAM - A framework and CLI for loading, transforming, and analyzing genomic data using Apache Spark
  • TransmogrifAI - AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning

Additional Language Bindings

C# / .NET

  • Mobius: C# and F# language binding and extensions to Apache Spark

Clojure

Groovy

Julia