ClickHouse for market data analytics, featuring Jefferies and Equiti Group
What if the same analytical database could support trading-desk research, large-scale backtesting, and production applications without adding another infrastructure burden?
Hear how Jefferies and Equiti Group use ClickHouse for demanding market data workloads.
Jefferies is one of the world’s leading full-service investment banking and capital markets firms. Their teams run complex statistical and time-series analysis across historical data and embed ClickHouse directly into applications.
Equiti Group, a global fintech leader in advanced trading technology, physical commodities, and payment software is expanding into institutional and wealth management. They built a managed store for pricing, trade, and machine learning data on ClickHouse Cloud for Azure, giving its teams faster access to historical analysis while reducing operational overhead.
You’ll learn how they:
Run complex statistical and time-series analysis across historical market data
Support trading-desk analytics and application workloads on the same database
Backtest strategies across high-volume pricing and trade data
Use ClickHouse Cloud for autoscaling, backups, and managed storage to simplify operations
This 30-minute recorded discussion goes deeper into the teams’ architecture and design decisions. ClickHouse solution architects Christoph Wurm and Jake Vernon will then join live for 15 minutes of Q&A. Bring your market data and architecture questions..
Who should attend? Quants, quant developers, market data and trading systems engineers, platform architects, data infrastructure leaders, and SREs supporting trading environments at banks, hedge funds, brokerages, exchanges, and fintechs.