FeatureBase is a relational DBMS designed for automated featured extraction for analytical workloads. Feature extraction and storage technology enables real-time analytics and AI initiatives, making model-ready data instantly accessible, without the need to copy or pre-process data.
- Source Code
- https://github.com/featurebasedb/featurebase[02]
- Developer
- Country of Origin
- US
- Start Year
- 2017 [05]
- Former Name
- Pilosa
- Project Type
- Open Source
- Written in
- Go
- Derived From
- Pilosa
- License
- Apache v2
FeatureBase leaves data at its source and continuously extracts and updates only features in real time. FeatureBase supports clustering, record deletion, time-to-live (TTL) expiration and SQL functionality.
FeatureBase is available as a cloud SaaS product or as a locally-managed database.
FeatureBase is a relational DBMS designed for automated featured extraction for analytical workloads. Feature extraction and storage technology enables real-time analytics and AI initiatives, making model-ready data instantly accessible, without the need to copy or pre-process data.
FeatureBase leaves data at its source and continuously extracts and updates only features in real time. FeatureBase supports clustering, record deletion, time-to-live (TTL) expiration and SQL functionality.
FeatureBase is available as a cloud SaaS product or as a locally-managed database.
Citations
5 sources- https://www.molecula.com/featurebase molecula.com
- GitHub - FeatureBaseDB/featurebase: A crazy fast analytical database, built on bitmaps. Perfect for ML applications. Learn more at: http://docs.featurebase.com/. Start a Docker instance: https://hub.docker.com/r/featurebasedb/featurebase · GitHub github.com
- Guides featurebase.app
- https://twitter.com/Molecula twitter.com
- https://www.crunchbase.com/organization/molecula crunchbase.com