LSEG and Databricks

Our partnership brings LSEG’s financial data natively into the Databricks environment via Delta Sharing. 

Together, LSEG and Databricks enable financial institutions to build AI agents and applications using enterprise and market data—accelerating analytics, risk management, and trading workflows with trusted content and seamless integration.

You might be creating a modelto quantify riskor a strategy to find the edge.But do you have the history to build it on?They say you can't change the past,but with LSEG analytics,you can change the way you access itprecisely and on your terms.With 20 years of market historyunique to you,stress testing your portfolioshouldn't take so much set up.With clean historical time seriesPre-calculated and updated daily.You can benchmark internal models,calibrate with confidenceand move to production with ease.Generic analyticscan limit your edge.With tailor made precision.You can spot correlations,test ideas to find insight fastand execute decisively.The past is now on demand.The future is yours to model.

Unified financial intelligence

By combining LSEG’s enterprise and market data with Databricks’ analytics platform, our customers can gain real-time insights to enhance portfolio management, forecasting, and client reporting.

AI-ready data via Delta Sharing

By integrating LSEG’s AI-ready data with Databricks’ Delta Sharing, we enable our customer to access live data securely across platforms without vendor lock-in and discover Historical Analytics on Databricks Marketplace.

Agent Bricks for financial workflows

By pairing LSEG data with Databricks’ Agent Bricks, our customers can deploy AI agents in days, not months—accelerating opportunity detection, risk analysis, forecasting, and compliance reporting.

Customers tell us they have an insatiable appetite for high-quality, AI-ready data to accelerate their analytics and AI workloads.

This partnership with Databricks marks an important step in bringing LSEG’s trusted data to where customers need it most.

Initial datasets include Lipper Fund Data & Analytics and Cross Asset Analytics. Additional data such as Pricing, Reference Data, StarMine Models, Fundamentals, Estimates, Economics, and Tick History will follow.
Historical Analytics is now available via Delta Sharing on the Databricks Marketplace.
Agent Bricks is a Databricks solution that allows financial teams to build governed AI agents using enterprise and market data for real-time analytics and automation.
Investment Analytics

Trade Analytics

Risk Management