Data Intellect launches ClickHouse practice

Data Intellect is launching a dedicated ClickHouse practice.

The practice brings our accredited ClickHouse developers and consultants together with the time-series specialists who have spent more than twenty years building and running data platforms for trading desks and quant teams. We design, build, tune and run ClickHouse platforms that hold up under the demands of capital markets.

Why ClickHouse, why now

ClickHouse’s raw query speed is well established. What decides success on a trading floor is everything around it: how data is ingested, how schemas behave under complex analytics, and how the platform recovers when a feed fails at the open. More firms across financial services are evaluating ClickHouse for analytics, reporting and real-time workloads. Many are moving off SQL Server, Oracle or legacy stores. They need partners who understand both the engine and the data it will hold.

Built on our time-series heritage

Time-series data is what we do. For over two decades our teams have built tick stores, real-time analytics and surveillance platforms for banks, hedge funds and trading firms. We know what high-frequency, historical and real-time data demands, from ingest and cleansing through to analytics and presentation.

Looking ahead: observability for AI on the trading floor

AI agents working alongside traders can generate large volumes of operational data. With appropriate instrumentation, firms can capture prompts, tool calls, and outputs as timestamped traces, helping teams investigate agent behaviour and support internal oversight. ClickHouse provides the analytical foundation to query this telemetry at scale. It already powers Langfuse, ClickHouse’s AI observability and evaluation platform, where teams can monitor latency and cost, evaluate output quality, and use production data to test improvements.

The ClickHouse practice carries that experience into a new technology. Clients get engineers who already speak the language of the desk: order books, executions, positions, risk and regulatory deadlines. We have already proved it in production. At a tier 1 bank, we replaced the SQL Server data store with ClickHouse for a cash management calculator within its inventory management system. The calculator produces near real-time funding projections for its Funding and Liquidity desks. The existing AG Grid front-end stayed in place, so users saw faster data without having to relearn their tools.

What the practice offers

We focus on market data analytics, execution analytics, risk and P&L analytics, and trade surveillance use-cases where ClickHouse shines.

A word from our leadership

“The ClickHouse partnership offers us the ability to explore a wider range of solutions for existing and new clients that are looking to leverage and optimise its analytical and processing engine. Our knowledge of the data means we can help drive a faster time to value. The power of compute and speed of processing combined with the ClickHouse architecture offers clients a new alternative in high volume, high frequency data analytics”

— Steve Turner, CEO, Data Intellect

A word from ClickHouse

“Capital markets firms are under constant pressure to run faster analytics on ever-growing volumes of market and trading data. Data Intellect brings deep domain knowledge and a proven track record of building the systems that trading desks and quant teams depend on. Together, we are helping firms take ClickHouse’s real-time analytics into production faster, lower the cost of their data infrastructure, and turn market data into decisions at the speed the business demands.”

— Kevin Egan, Chief Revenue Officer, ClickHouse

Let’s talk

Whether you are weighing ClickHouse for the first time, planning a migration or tuning a platform already in production, we would like to hear about it. Explore the practice on our ClickHouse page or get in touch to talk through your project.

About Data Intellect

Data Intellect is a global provider of specialist data analytics, time-series and predictive AI services to the financial services sector. For more than two decades we have and continue to design, build and run data platforms for trading desks, quant teams and risk functions at banks, hedge funds and trading firms.