BMLL brings historical market data to Databricks

By Aarav Garg

BMLL has made its historical market data available through Databricks, expanding access for investment firms and other market participants.

The integration allows users to access BMLL’s datasets covering equities, exchange-traded funds, futures and options directly within the Databricks environment. The move is aimed at giving customers greater flexibility in how they access and use market data, while reducing the need for additional integration or storage infrastructure.

According to the company, the offering is designed to accelerate time to insight across a range of use cases, including transaction cost analysis (TCA), market surveillance, execution analysis, backtesting, stress testing and strategy development.

Paul Humphrey, Chief Executive Officer of BMLL, said, “Both the sophistication of the market and the demand for high-quality historical market data continue to grow. This is why firms rely on our robust engineering and normalisation processes to make effective use of our granular data, and we are excited to make BMLL datasets available on the Databricks platform. We essentially meet our customers where they need us to be – within their existing workflows. They now have additional choice and flexibility in how they access our data to carry out faster and more efficient analysis, at scale.”

By launching on Databricks, BMLL aims to make its datasets more accessible to existing users of the platform. The integration includes marketplace notebooks developed by BMLL’s quantitative analysts, which allow users to explore and evaluate datasets more easily within their existing workflows.

The companies said the approach reduces the complexity typically associated with handling large volumes of historical market data, enabling faster analysis without high additional costs.