ArcticDB is a database made for quantitative data science
ArcticDB is precisely designed to solve for a single pain point: getting quants productive with their data as quickly as possible.
DataFrames
at scale
ArcticDB seamlessy integrates with common Python data science libraries, transforming your ability to operate complex data at petabyte scale with remarkable speed. Billions of rows of data, hundreds of thousands of columns processed in seconds.
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“ArcticDB has enhanced our ability to generate new trading strategies, optimise portfolios, and manage investment risk. It has transformed the way we handle data and we know others will gain great benefits from it too; from boutique hedge funds through to large traditional asset managers, global investment banks and beyond.
We would like to see ArcticDB become ubiquitous, used to power every organisation where data is processed and insights extracted at scale.”
Gary Collier, Man Group CTO
Enterprise Ready
Bloomberg integrated ArcticDB’s capabilities into their BQuant platform
Giving Bloomberg’s quantitative clients the ability to process, analyse, and backtest using billions of rows of timeseries data in seconds as they seek new ways to generate alpha.
Man Group
ArcticDB is the foundational block of quantitative data science at Man Group.
It provides a seamless tool that allows quantitative users to access huge amounts of data with no additional cognitive load. Freeing up valuable time to spend on quantitative science. ArcticDB has transformed the way Man Group handles data from personal databases through to production systems.
/Fast
Processes billions of rows in seconds
Fast cross-sectional views, hundreds of thousands of columns wide
Instantly queryable data format
/Flexible
Effortlessly scale data from zero to infinite users
Evolving schemas and changing columns over time
Safely modify data with built-in versions
/Familiar
Python API
Seamless integration with Python data science libraries
Easy install: pip install arcticdb
No Servers Needed
ArcticDB is a client-side database, you don't need any dedicated servers to use ArcticDB
Open Source Ethos
Source available as a GitHub library ArcticDB you can get started with ArcticDB right away. It’s designed to integrate seamlessly into the open source data science ecosystem. You can use ArcticDB with tools such as Jupyter, Pandas, and other common libraries. Bloomberg has partnered with ArcticDB on development for the source available library.
Delivering quant data productivity
Quantitative Data | Supports data frames at enormous scale, hundreds of thousands of columns and billions of rows in seconds. Model entire trading universes with ease |
Time-Series Analysis | Our powerful query engine delivers features optimised for time series analysis. |
Research ready data | The combination of our custom data format, serverless architecture and use of scalable object storage results in seamless data handling for onboarding, sharing and production in quantitative workflows. |
Source available
Best suited to individuals and for trying out ArcticDB. Contact us for academic licences.
Pro
Best suited for small deployments, teams and individuals
Github Library
Production Use
Dedicated slack support
Production Support
Access To Roadmap
Enterprise
Best suited for larger deployments, many users, multiple use cases or organisation wide use
Github Library
Production Use
Dedicated slack support
Production Support
Access To Roadmap
Add ons
Add ons available to purchase with Pro and Enterprise licences
TickCollector
Enterprise Toolkit
Production Support (SLAs)
New Feature Development
Consultancy
Custom SLAs
