About ArcticDB

ArcticDB is precisely designed to solve for a single pain point: getting quants productive with their data as quickly as possible.

What is ArcticDB?

ArcticDB is a high-performance DataFrame database built for quantitative data science, developed at Man Group and optimised for time series workloads.

Designed to process billions of rows and hundreds of thousands of columns in seconds, it stores and retrieves data natively as Pandas DataFrames through a Python-native API .

ArcticDB is delivered as a Python package and it sits directly on top of commodity object storage (S3, Azure Blob, GCP), with no servers to provision or clusters to manage getting started is as simple as pip install arcticdb.

/Fast

  • Processes billions of rows in seconds

  • Fast cross-sectional views, hundreds of thousands of columns wide

  • No data transformation needed. Dataframe in, Dataframe out - an instantly queryable data format

/Flexible

  • Serverless so you can effortlessly scale from zero to infinite users

  • Schemaless design: choose between dynamic or static schema

  • Immutable, so you can query your data as it existed at any point in time

  • Safely modify data with built-in versioning

/Familiar

  • Python API

  • Delivered as a Python library

  • Easy and quick install: pip install arcticdb

  • Pandas and Polars integration

  • Seamless integration with other Python data science libraries