BMLL Historical Data now available via Databricks
Gives users greater flexibility in how they access and use BMLL data across equities, futures and options
Accelerates time to insight across use cases such as TCA, market surveillance, trade and execution analysis, backtesting, stress testing and strategy development
Enables existing Databricks customers to rapidly access BMLL high-quality data with minimal integration effort or storage costs.
London, New York, 15 April 2026: BMLL, the leading independent provider of historical market data and analytics across global equity, ETFs, futures and options, today announced that the BMLL Historical Data is now available via Databricks. This move furthers BMLL’s commitment to delivering content wherever customers need it, with initial users including some of the world’s largest investment management firms.
Driven by customer demand and BMLL’s Client Product Advisory Board (CPAB), the collaboration reflects BMLL’s ongoing strategy to give customers greater choice in how they discover, access and evaluate datasets. Alongside Databricks, BMLL data and analytics are available via a broad range of delivery mechanisms, including API, SFTP, S3 and more.
By launching on Databricks, BMLL enables a wider range of market participants to accelerate time to insight and extract value faster. A series of marketplace notebooks, created by the BMLL team of expert quantitative analysts, allows Databricks users to easily and quickly discover and evaluate the BMLL product suite - with minimal integration effort or the costs associated with data storage. Use cases include execution analysis, research and backtesting, market structure analysis, TCA, market surveillance and risk.
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.”
About BMLL
BMLL Technologies is the leading, independent provider of harmonised, Level 3, 2 and 1 historical data and analytics to the world’s most sophisticated capital market participants, covering global equities, ETFs, futures and US equity options.
BMLL offers banks, brokers, asset managers, hedge funds, global exchange groups, academic institutions and regulators immediate and flexible access to the most granular Level 3, 2 and 1 T+1 order book data and advanced pre and post-trade analytics. BMLL gives users the ability to understand market behaviour, accelerate research, optimise trading strategies and generate alpha more predictably.
Founded in 2014 in the machine learning laboratories of the University of Cambridge, the platform enables researchers and quants across global financial services firms to apply complex statistical techniques to BMLL’s unique big-data sets with applications such as market impact, pre and post trade analytics, order book simulation and compliance. Users no longer need to buy, curate and harmonise data. With BMLL, they gain cost-effective, instant access to a cloud-native Data Science environment via a single web portal, with a long history of the most granular, full order book data across global equities, US equity options, futures and ETFs for back-testing and simulation, delivered directly into their workflows.
In October 2025, Nordic Capital acquired BMLL. The investment was made in close partnership with the management team of BMLL and minority shareholder Optiver, marking a joint commitment to accelerate the company’s next phase of growth. Before this, BMLL secured $21 million strategic investment in October 2024, led by Optiver; $26 million Series B investment in 2022/2023; and $36 million in Series A and seed funding rounds.
