TIME SERIES DATA [Clickhouse]

We run focused ClickHouse proofs of concept that answer the question you actually need answered: will this handle our data, at our volumes, under our queries. We stand up a working environment against a real slice of your data, benchmark it, and hand back the ingest pipelines, schema and query patterns as a foundation you can build on.

Our subject matter experts assess ClickHouse deployments to identify opportunities for improvement. Whether you are already running ClickHouse in production or weighing it against your current stack, we give you insight into where it fits and where it does not. Reviews may include, but are not limited to: - Table engine, ordering key and partitioning design for tick and trade data - Hardware, storage tiering and cloud infrastructure profiling - Query and merge performance tuning for high volume market data - Scalability and sharding strategy as data volume increases - Security, access control and data governance - Migration readiness for workloads moving off SQL Server, Oracle or legacy stores - Version upgrade paths and system modernisation - Application build, deployment and monitoring processes

We provide accredited ClickHouse developers and time series specialists to support high demand client teams. These resources integrate directly into existing trading and analytics environments, bringing practical expertise in schema design, ingest and streaming pipelines, query optimisation and ongoing production support. They arrive already fluent in capital markets data, so the ramp up is short and useful work starts quickly.

Two decades of building time series platforms for trading floors means we understand what these systems have to do before anyone writes a line of SQL. We deliver ClickHouse against real capital markets workloads: market data capture and tick storage, TCA and execution analytics, position and inventory management, risk and P&L, trade surveillance and regulatory reporting. That domain knowledge shapes the schema, the retention policy and the query layer, which is what separates a fast database from a platform the firm will trust.

We provide advisory services across ETL, data cleansing, analytics and presentation for time series data. This includes working with high-frequency trading data, historical datasets and real-time streams within Clickhouse environments, ensuring data quality and analytical accuracy.