Hydrospheredata/mist

Serverless proxy for Spark cluster

326

stars

1,989

commits

Scala

primary language

Apr 13, 2026

updated

hydrosphere.io/mist/
apache-spark
api
big-data
serverless

README

Build Status Build Status Maven Central Docker Hub Pulls

Hydrosphere Mist

Join the chat at https://gitter.im/Hydrospheredata/mist

Hydrosphere Mist is a serverless proxy for Spark cluster. Mist provides a new functional programming framework and deployment model for Spark applications.

Please see our quick start guide and documentation

Features:

  • Spark Function as a Service. Deploy Spark functions rather than notebooks or scripts.
  • Spark Cluster and Session management. Fully managed Spark sessions backed by on-demand EMR, Hortonworks, Cloudera, DC/OS and vanilla Spark clusters.
  • Typesafe programming framework that clearly defines inputs and outputs of every Spark job.
  • REST HTTP & Messaging (MQTT, Kafka) API for Scala & Python Spark jobs.
  • Multi-cluster mode: Seamless Spark cluster on-demand provisioning, autoscaling and termination(pending) Cluster of Spark Clusters

It creates a unified API layer for building enterprise solutions and microservices on top of a Spark functions.

Mist use cases

High Level Architecture

High Level Architecture

Contact

Please report bugs/problems to: https://github.com/Hydrospheredata/mist/issues.

http://hydrosphere.io/

LinkedIn

Facebook

Twitter

Contributors

dos65

899 commits

leonid133

360 commits

kmakarychev-dev

281 commits

blvp

241 commits

Hydrospheredata/mist

Serverless proxy for Spark cluster

326

stars

1,989

commits

Scala

primary language

Apr 13, 2026

updated

hydrosphere.io/mist/
apache-spark
api
big-data
serverless

README

Build Status Build Status Maven Central Docker Hub Pulls

Hydrosphere Mist

Join the chat at https://gitter.im/Hydrospheredata/mist

Hydrosphere Mist is a serverless proxy for Spark cluster. Mist provides a new functional programming framework and deployment model for Spark applications.

Please see our quick start guide and documentation

Features:

  • Spark Function as a Service. Deploy Spark functions rather than notebooks or scripts.
  • Spark Cluster and Session management. Fully managed Spark sessions backed by on-demand EMR, Hortonworks, Cloudera, DC/OS and vanilla Spark clusters.
  • Typesafe programming framework that clearly defines inputs and outputs of every Spark job.
  • REST HTTP & Messaging (MQTT, Kafka) API for Scala & Python Spark jobs.
  • Multi-cluster mode: Seamless Spark cluster on-demand provisioning, autoscaling and termination(pending) Cluster of Spark Clusters

It creates a unified API layer for building enterprise solutions and microservices on top of a Spark functions.

Mist use cases

High Level Architecture

High Level Architecture

Contact

Please report bugs/problems to: https://github.com/Hydrospheredata/mist/issues.

http://hydrosphere.io/

LinkedIn

Facebook

Twitter

Contributors

dos65

899 commits

leonid133

360 commits

kmakarychev-dev

281 commits

blvp

241 commits

Languages

Scala

95.3%

Python

3.1%