BMLL, the independent provider of historical market data and analytics, has made its datasets available via the Databricks platform. This move is part of the firm’s broader strategy to offer flexible delivery mechanisms, complementing its existing API, SFTP, and S3 options. The collaboration was driven by customer demand and guidance from the BMLL Client Product Advisory Board, with initial adoption already seen among major global investment management firms.
The integration allows market participants to access granular data across equities, ETFs, futures, and options directly within their existing Databricks workflows. To facilitate ease of use, BMLL has provided a series of marketplace notebooks designed by quantitative analysts. These tools enable users to evaluate the product suite with minimal integration effort and lower data storage costs, accelerating the transition from raw data to actionable insights.
The platform supports various financial functions, including execution analysis, backtesting, and market surveillance. By providing granular, normalised historical data on a scalable platform, BMLL aims to help firms perform more efficient analysis. The initiative reflects a commitment to meeting the growing industry demand for sophisticated data engineering while providing flexibility in how large-scale datasets are discovered and evaluated.
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