FeatureBase

FeatureBase flips the script on data preparation and automates feature extraction as the first step, effectively eliminating the most costly, time-consuming part of most 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. Molecula leaves data at its source and continuously extracts and updates only features in real time. All of an organization’s data can be converted to reusable features and analyzed with low latency, the freshest data, greatest throughput, and highest concurrency.

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. FeatureBase offers robust clustering, Delete, Time to Live, and SQL functionality.

Checkpoints

Non-Blocking Consistent

Data Model

Relational

Foreign Keys

Supported

Indexes

B+Tree BitMap

Query Compilation

Not Supported

Storage Architecture

Hybrid

Stored Procedures

Not Supported

System Architecture

Shared-Nothing

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FeatureBase Logo
Website

https://www.molecula.com/featurebase/

Tech Docs

https://docs.molecula.cloud/

Twitter

@Molecula

Developer

Molecula

Country of Origin

US

Start Year

2017

Former Name

Pilosa

Written in

Go

Supported languages

Python, SQL

Compatible With

FeatureBase

Operating Systems

Hosted, Linux

Licenses

Proprietary

Revision #3  |