How Jump Trading uses ClickHouse with Iceberg for analytics

Jump Trading, a Chicago-based trading firm, utilizes a self-managed ClickHouse platform to handle financial trading logs at a petabyte scale, ensuring zero data loss and low latency for industry-critical real-time analytics. The firm extended this platform with an Iceberg pipeline to separate batch analytics from their real-time cluster, allowing for efficient handling of both business-critical and research-focused workloads. This setup supports low-latency ingesting of hundreds of TBs daily and accommodates batch processing with higher latency tolerance. By integrating Iceberg, an open table format built on Parquet, Jump Trading maintains a unified view of their data while accommodating new export requirements and ensuring scalable, long-term retention. ClickHouse's fast performance and development, coupled with the team's contributions to its open-source project, have enabled Jump to tailor the platform to their needs, offering seamless switching between Iceberg and ClickHouse for varied business requirements.

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