DBDB.io The Encyclopedia of Database Systems · Est. 2017
Database of Databases

Database Entry

FeatureBase


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.

Twitter
@Molecula
Developer
Country of Origin
US
Start Year
2017 [03]
Former Name
Pilosa
Written in
Go
Supported Languages
Python, SQL
Operating Systems
Hosted, Linux
License
Proprietary

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.

Database Entry

FeatureBase


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.

History


FeatureBase spun out of an open-source project called Pilosa in 2017. Since then it has been enhanced along a number of axis: FeatureBase is available as a cloud SaaS product or as a locally-managed database.

Checkpoints


Compression


Concurrency Control


Data Model


Foreign Keys


Indexes


Query Compilation


Query Interface


Storage Architecture


Storage Model


Stored Procedures


System Architecture


Views


Citations

3 sources
  1. https://www.molecula.com/featurebase molecula.com Dead — Check Archive
  2. Guides featurebase.app
  3. https://www.crunchbase.com/organization/molecula crunchbase.com
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