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ArcticDB is a serverless DataFrame database engine designed for the Python Data Science ecosystem.
ArcticDB enables you to store, retrieve and process DataFrames at scale, backed by commodity object storage (S3-compatible storages and Azure Blob Storage).
ArcticDB requires zero additional infrastructure beyond a running Python environment and access to object storage and can be installed in seconds.
ArcticDB is:
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Fast
- Process up to 100 million rows per second for a single consumer
- Process a billion rows per second across all consumers
- Quick and easy to install: pip install arcticdb
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Flexible
- Data schemas are not required
- Supports streaming data ingestion
- Bitemporal - stores all previous versions of stored data
- Easy to setup both locally and on cloud
- Scales from dev/research to production environments
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Familiar
- ArcticDB is the world's simplest shareable database
- Easy to learn for anyone with Python and Pandas experience
- Just you and your data - the cognitive overhead is very low.
Tags:
storage
Last modified 23 August 2025