# How Jump Trading uses ClickHouse with Iceberg for analytics

DevFeed: [How Jump Trading uses ClickHouse with Iceberg for analytics](<https://devfeed.tech/articles/how-jump-trading-uses-clickhouse-with-iceberg-for-analytics-5363.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/jump-trading-uses-clickhouse-with-iceberg>)

Author: ClickHouse

Published: 2026-07-30T00:00:00Z

Content type: article

Language: en

Sources: [ClickHouse Blog](<https://devfeed.tech/sources/clickhouse-blog.md>)

Topics: [clickhouse](<https://devfeed.tech/topics/clickhouse.md>), [Apache Iceberg](<https://devfeed.tech/topics/apache-iceberg.md>), [log management](<https://devfeed.tech/topics/log-management.md>), [data](<https://devfeed.tech/topics/data.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Database](<https://devfeed.tech/topics/database.md>)

Tags: [analytics](<https://devfeed.tech/tags/analytics.md>), [apache](<https://devfeed.tech/tags/apache.md>), [apache-iceberg](<https://devfeed.tech/tags/apache-iceberg.md>), [business](<https://devfeed.tech/tags/business.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [data](<https://devfeed.tech/tags/data.md>), [database](<https://devfeed.tech/tags/database.md>), [industry](<https://devfeed.tech/tags/industry.md>), [latency](<https://devfeed.tech/tags/latency.md>), [logging](<https://devfeed.tech/tags/logging.md>), [logs](<https://devfeed.tech/tags/logs.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [observability](<https://devfeed.tech/tags/observability.md>), [open](<https://devfeed.tech/tags/open.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [performance](<https://devfeed.tech/tags/performance.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [scale](<https://devfeed.tech/tags/scale.md>), [technology](<https://devfeed.tech/tags/technology.md>), [trading](<https://devfeed.tech/tags/trading.md>)

## AI overview

Jump Trading uses a self-managed ClickHouse platform to capture and analyze petabyte-scale financial trading logs. The platform ingests hundreds of terabytes daily with a sub-20-second p99 and supports real-time analytics across hundreds of billions of events. To support large-scale batch reporting and research without affecting the real-time cluster, Jump added a parallel Apache Iceberg pipeline.

## Source excerpt

Jump Trading captures petabyte-scale financial trading logs on a self-managed ClickHouse platform, where zero data loss and low latency are critical requirements.