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
FeatureBase Pilosa is now FeatureBase
As of September 7, 2022, the Pilosa project is now FeatureBase. The core of the project remains the same: FeatureBase is the first real-time distributed database built entirely on bitmaps. (More information about updated capabilities and improvements below.)
FeatureBase delivers low-latency query results, regardless of throughput or query volumes, on fresh data with extreme efficiency. It works because bitmaps are faster, simpler, and far more I/O efficient than traditional column-oriented data formats. With FeatureBase, you can ingest data from batch data sources (e.g. S3, CSV, Snowflake, BigQuery, etc.) and/or streaming data sources (e.g. Kafka/Confluent, Kinesis, Pulsar).
For more information about FeatureBase, please visit www.featurebase.com.
Getting Started Build FeatureBase Server from source
make install
to compile the FeatureBase server binary. By default, it will be installed in the go/bin directory.make install
to compile the ingester binaries. By default, they will be installed in the go/bin directory.featurebase server --handler.allowed-origins=http://localhost:3000
to run FeatureBase server with default settings (learn more about configuring FeatureBase at the link below). The --handler.allowed-origins
parameter allows the standalone web UI to talk to the server; this can be omitted if the web UI is not needed.curl localhost:10101/status
to verify the server is running and accessible.Ingest Data and Query
molecula-consumer-csv \
--index repository \
--header "language_ID_F,project_id_ID_F" \
--id-field project_id \
--batch-size 1000 \
--files example.csv
This will ingest the example.csv
file into a FeatureBase table called repository
. If the table does not exist, it will be automatically created. Learn more about ingesting data into FeatureBase
curl localhost:10101/index/repository/query \
-X POST \
-d 'Row(example=5)'
Learn about supported SQL, native Pilosa Query Language (PQL).
Data Model
Because FeatureBase is built on bitmaps, there is bit of a learning curve to grasp how your data is represented. Learn about Data Modeling.
More Information
Community
You can email us at community@featurebase.com and learn more about contributing.
Chat with us: https://discord.gg/FBn2vEp7Na
What's Changed Since the Pilosa Days?
A lot has changed since the days of Pilosa. This list highlights some new capabilites included in FeatureBase. We have also made signficant improvements to the performance, scalability, and stability of the FeatureBase product.
License
FeatureBase is licensed under the Apache License, Version 2.0
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