Hydrosphere Mist

What it is

Hydrosphere Mist is a service for deploying Apache Spark MLlib machine learning models as real-time, batch or reactive web services. It simplifies the process of serving machine learning models in production environments.

Hydrosphere Mist stands out as a specialized tool for deploying and serving Apache Spark MLlib models, offering unique capabilities in real-time and reactive web services.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited language support beyond Scala and Python

   Primary development is in Scala with limited official support for other languages

2. 02

   Small community which can limit troubleshooting resources

   GitHub activity indicates a niche user base and fewer contributors compared to more mainstream tools

What it does well

• Real-time model serving

• Batch processing support

• Reactive web services for machine learning models

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.