BMLL Technologies has made its historical market data available through Databricks, adding the cloud data and AI platform to a growing list of distribution channels for the London-based vendor's order book records across global equities, ETFs, futures and US equity options.Singapore Summit: Meet the largest APAC brokers you know (and those you still don't!)The company said the rollout was driven by customer demand and shaped by its Client Product Advisory Board, with initial users including some of the world's largest investment management firms. BMLL did not name the firms or disclose pricing for the Databricks channel.Under the arrangement, Databricks customers can pull BMLL datasets directly into their existing environment, and a set of marketplace notebooks built by BMLL's quantitative analysts is intended to let users evaluate the data without standing up a separate ingestion pipeline. The vendor said target use cases include transaction cost analysis, market surveillance, execution analysis, backtesting, stress testing and strategy development, the same workflows it has pitched through its other delivery routes.The Databricks tie-up follows a similar template to BMLL's earlier move to make three datasets available through the Snowflake Marketplace in early 2024, which the company described at the time as the first phase of a wider distribution push.DeliveryChannels Keep Stacking UpThe latestintegration is one of several through which BMLL has been trying to meetinstitutional buyers inside the platforms they already use, rather than askingthem to onboard a standalone vendor. Its data is already accessible viaAPI, SFTP and AWS S3, and a 2024 partnership with cloud data vendor INQDATA extendedaccess to clients running kdb+ environments."We essentially meet our customers where they need usto be, within their existing workflows," Paul Humphrey, Chief ExecutiveOfficer of BMLL, said in the company's statement.He added that clients nowhave "additional choice and flexibility in how they access our data tocarry out faster and more efficient analysis, at scale."Cloud Marketplaces Become a Battleground for Market DataVendorsThe launch lands as institutional market data providerscompete to embed their content inside the cloud and AI platforms thatquantitative teams already rely on, a shift that is gradually shrinking therole of traditional data terminals in research workflows. Bloomberg, Refinitivand ICE Data Services have all expanded cloud distribution arrangements inrecent years, and Snowflake's financial services marketplace has become acommon reference point for vendors looking to reach buy-side analytics teams withoutbespoke integrations.BMLL's positioning sits alongside that of larger incumbentsbut with a narrower focus on Level 3, 2 and 1 historical order book datasourced from more than 100 trading venues. Competitors in the granularhistorical data space include Databento, which sells nanosecond-precision datathrough cloud-delivered APIs and launched its own Databricks integration in2024, and Kaiko, which has expanded similar distribution arrangements fordigital asset order book records. Exchange groups including Nasdaq and CME Grouphave also been moving more of their historical content into cloud marketplaces,in some cases bundled with their own analytics layers.For BMLL, the Databricks rollout fits a pattern of stackingdistribution partnerships and product tie-ups on top of its core dataset. InFebruary, the company teamedup with Features Analytics to build market abuse benchmarking tools usingits order book records.Post-Acquisition Push Under Nordic CapitalThe Databricks announcement is the first major distributiondeal since BMLL began rebuilding its commercial bench under new ownership.Nordic Capital acquired the company in October 2025 in a transaction that alsoinvolved existing minority shareholder Optiver, which had led a $21 millioninvestment a year earlier. Before that, BMLL raised $26 million in Series Bfunding during 2022 and 2023 and roughly $36 million in earlier seed and SeriesA rounds.Since the acquisition, BMLL has named Karen King as Head ofSales for Asia Pacific in January and added a US derivatives sales lead thefollowing month, building out coverage in regions where it has been addingexchange feeds. Last month, the company also openeda year-long pilot with Tradefeedr to extend transaction cost analysis from FXinto equities and futures, one of several product collaborations layered ontop of its core data offering. Earlier tie-ups followed a similar template,including work with Ultumuson ETF spread analytics and a multi-year deal with Wamidto power Saudi Arabia's first cloud analytics platform for institutionalinvestors.The Databricks channel adds a new entry point to thatexpanded footprint, though uptake will depend on how many of BMLL's existinginstitutional clients already run their research stacks on the platform.Founded in 2014 out of the machine learning labs at the University ofCambridge, BMLL supplies harmonized Level 3, 2 and 1 data and analytics tobanks, brokers, asset managers, hedge funds, exchanges, regulators and academicinstitutions.This article was written by Damian Chmiel at www.financemagnates.com.