Hopsworks

What it is

Hopsworks is a data-intensive platform that includes the industry's first open-source feature store. It provides both an offline feature warehouse based on Apache Hive and an online feature serving database using MySQL Cluster, making it suitable for training models and real-time applications.

Hopsworks stands out as an open-source feature store that supports both offline and online serving, offering flexibility in deployment and integration with popular big data technologies.

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

   Steep learning curve for non-Java developers

   Primary language is Java, which can be challenging for developers with a background in other languages like Python or JavaScript.

2. 02

   Limited documentation and community support

   The official documentation lacks detailed examples and troubleshooting guides. Community forums are not very active compared to more popular tools.

3. 03

   Performance issues with large-scale data processing

   Users have reported slow performance when handling extremely large datasets, which can hinder real-time applications and batch processing efficiency.

4. 04

   Complex setup and configuration

   Setting up Hopsworks requires detailed knowledge of both Apache Hive and MySQL Cluster configurations, making it time-consuming for new users.

What it does well

• Offline feature warehouse based on Apache Hive

• Online feature serving database using MySQL Cluster

• Support for both batch and real-time data processing

• Open-source with AGPL-3.0 license

• Self-hosted deployment

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.