ClickHouse is quietly becoming the analytics backbone across four real-world stories: a log-analytics PoC, buffering and OLAP write tactics, ADS-B visualizations at scale, and monetization pipelines that scale with analytics. Access logs are directly written to ClickHouse analytics database, enabling large data batches and fast analytic queries [1].
Log-analytics PoC with ClickHouse — In this PoC, access logs feed straight into ClickHouse, letting teams run heavy batch queries without building custom pipelines [1].
Buffering and OLAP writes with ClickHouse — A piece on optimizing OLAP writes with buffers shows how batching helps, with direct insert paths via MooseStack and streaming via Redpanda shaping the workflow [2]. It frames the classic tradeoff: OLTP-style writes are heavy on write amplification, while OLAP favors bulk loads and lower latency for analytics [2].
ADS-B Exposed — The ADS-B Exposed project demonstrates an ADS-B visualizer built around ClickHouse, illustrating how high-velocity flight-data can be turned into scalable visuals and patterns [3].
WarpStream + ClickHouse Cloud — A post on how WarpStream and ClickHouse Cloud scale subscription monetization shows multi-tool integration around the analytics backbone, underscoring durability and throughput needs [4].
Across these stories, ClickHouse proves its versatility as a durable, scalable backbone for logs, buffered OLAP writes, flight-data visuals, and monetization data pipelines, with clear trade-offs between batch versus async inserts and cross-tool integration [1][2][3][4].
References
Show HN: An open source access logs analytics script to block bot attacks
PoC logs analytics tool using JA5 fingerprints; stores to ClickHouse; discusses limitations, ML defenses, rate-limiting, debates.
View sourceOptimizing writes to OLAP using buffers (ClickHouse, Redpanda, MooseStack)
Discusses buffering and streaming writes for OLAP, tradeoffs between batch inserts, async inserts, durability, and multi-consumer pipelines with ClickHouse integration.
View sourceADS-B Exposed
Show HN: ADS-B visualizer using ClickHouse; SQL-driven on-the-fly visualization of billions of records; extensive data feeds and tooling for exploration.
View sourceSuperwall uses WarpStream and ClickHouse to scale subscription monetization
Discusses using WarpStream and ClickHouse Cloud to scale subscription monetization; highlights database tech choices, performance, and deployment as case study.
View source