The mechanism matters more than the announcement: LSEG isn’t selling a new product, it’s changing where an existing one lives. Under OpenSharing, LSEG’s Tick History — market depth spanning 580-plus venues, decades of intraday trades and quotes — gets delivered as parquet files directly inside a client’s Databricks workspace, governed through Unity Catalog, with no ingestion pipeline required. For quant desks and banks already running research and backtesting on Databricks, that removes a real cost: the engineering overhead of pulling a multi-petabyte feed into a separate environment before you can touch it.
Who gains is clear. LSEG gets a distribution channel into Databricks’ installed base of analytics and AI shops without building bespoke delivery infrastructure itself — the release notes this is layered onto existing LSEG products already on the platform (Lipper Fund Data, Cross Asset Analytics, Quantitative Analytics Database), with Pricing & Reference data “planned to follow,” suggesting a slow migration of LSEG’s whole catalog toward Databricks-native delivery. Databricks gains an anchor dataset that other vendors will want to match, plus the compute and storage consumption that comes with running research workloads against an 80-plus-petabyte, 100-trillion-row database. Who pays is less clear from the release: it doesn’t say whether Databricks compute costs sit on top of existing Tick History licensing fees, which is the detail institutional buyers will want before assuming this is a net saving rather than a shifted cost.
The bigger competitive backdrop
This lands inside a live platform fight. Databricks reported a $4.8 billion revenue run-rate in December 2025 and a $134 billion valuation, according to Forbes reporting from February 2, 2026 — nearly double Snowflake’s roughly $75 billion market cap — while Snowflake countered with its own $200 million OpenAI model-hosting deal the same month. Separately, SAP’s May 4, 2026 acquisitions of Dremio and Prior Labs, reported by Customer Think, point to the same industry logic: every major data platform is racing to make “don’t move the data” the default architecture for AI workloads. LSEG choosing Databricks as a flagship distribution partner — rather than, say, prioritizing Snowflake’s Marketplace — is itself a signal about where the company sees quant and AI-driven demand concentrating.
LSEG isn’t launching a product here; it’s picking a landlord for its most valuable historical dataset.
Watch whether LSEG mirrors this listing on Snowflake or keeps it Databricks-exclusive, whether pricing terms surface once enterprise clients start budgeting for combined licensing-plus-compute costs, and whether the promised Pricing & Reference rollout actually lands — that would confirm this is a platform migration rather than a marketing add-on.
With over 30 years of market depth and breadth, covering more than 580 global venues and contributors, the database spans an 80+ petabyte storage footprint and captures more than 100 trillion rows of data.
— LSEG
