Hydrosphere Mist
Hydrosphere Mist provides a serverless proxy that connects applications to Spark clusters.
About Hydrosphere Mist
Hydrosphere Mist is an open-source serverless proxy that connects applications to Apache Spark clusters. It provides a functional programming framework for Spark applications, with managed Spark session support for on-demand EMR, Hortonworks, Cloudera, DC/OS, and vanilla Spark clusters. The tool offers REST HTTP and messaging (MQTT, Kafka) APIs for Scala and Python Spark jobs, plus multi-cluster on-demand provisioning and autoscaling capabilities; cluster termination functionality for multi-cluster mode is listed as pending in the source material.
Key features
- Spark Function as a Service deployment for Spark jobs
- Managed Spark sessions for multiple cluster distributions
- Typesafe framework defining Spark job inputs and outputs
- REST HTTP and messaging (MQTT, Kafka) APIs for jobs
- Multi-cluster on-demand provisioning and autoscaling
- Unified API layer for enterprise Spark microservices
Best for: Developers and teams building enterprise Spark microservices and applications that require serverless access to managed Spark clusters.
Good for
- Open-source availability under the Apache-2.0 license
- Supports multiple common Spark cluster distributions
- Offers both REST and messaging APIs for job interaction
Watch out for
- Multi-cluster termination functionality is listed as pending
- No publicly available pricing information
- Spark job development is limited to Scala and Python
Hydrosphere Mist at a glance
- Category
- Development › Cloud & Web Hosting
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Cloud & Web Hosting
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Hydrosphere Mist FAQ
What is the core purpose of Hydrosphere Mist?
It is an open-source serverless proxy for connecting applications to Apache Spark clusters.
What Spark cluster platforms does Mist support?
It supports on-demand EMR, Hortonworks, Cloudera, DC/OS, and vanilla Spark clusters.
What interfaces are available for interacting with Spark jobs via Mist?
It provides REST HTTP and messaging (MQTT, Kafka) APIs for Scala and Python Spark jobs.
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