Use cases / Logs, events, and traces
Logs, events, and traces with ClickHouse
Transform your logs, events, and traces with industry-leading compression ratios, sub-second query response times, powerful aggregation functions, and an extensive suite of integrations.
ClickHouse provides the cost-efficiency and blazing speed you need to power observability platforms at any scale.
Discover why companies are choosing ClickHouse as their blazing fast SQL-based observability store
10-100x in cost savings depending on alternatives considered
Best-in-class ingestion rates for the most demanding workloads
Up to 30x compression ratios for the most efficient storage usage
“At Sony LIV, we ingest tens of millions of video streaming events into ClickHouse Cloud and run queries to generate complex dashboards for analysis. This allows our operations team to monitor, alert & troubleshoot the QOS and QOE of our customers in real-time. ClickHouse Cloud has helped us to optimize costs and ensure the high availability and resilience of our services.”
ClickHouse for Observability
When it comes to SQL-based observability, ClickHouse shines in its ability to perform a huge range of analytical functions over massive volumes of data - leveraging features like high compression rates to ensure robust performance at scale.
Ingest data seamlessly
ClickHouse is designed to handle huge volumes of continuous streams of ingest data, supporting ingestion rates of gigabytes per second. Seamlessly connect your external data sources to ClickHouse Cloud with ClickPipes.
Leverage resources efficiency
ClickHouse is purpose-built to deliver the most efficient utilization of resources, which results in significant cost savings. Unlike other JVM-based solutions, ClickHouse can exploit the full resources of a machine and scale both horizontally and vertically to systems with hundreds of cores and petabytes of storage.
Manage data flexibly
ClickHouse’s column-oriented design delivers best-in-class compression ratios, reducing storage burden and further accelerating query performance. Flexible storage policies and MergeTree table engines allow data to reside on local disks for defined periods before migrating to object storage, creating “hot” and “cold” tiers to balance query performance and storage efficiency.
Unlock your real-time analytics
ClickHouse is designed from the ground up to power the most intensive real-time workloads. Combine our extensive suite of aggregation and analytical functions with optimizations to further accelerate queries and ensure blazingly-fast data analysis for critical workloads.
Supporting references
- Building an Observability Solution with ClickHouse - Part 1 - Logs
- Docs: Using ClickHouse for log analytics
- Sending Nginx logs to ClickHouse with Fluent Bit
- Working with Time Series Data in ClickHouse
- Building a cost-effective logging platform using ClickHouse for petabyte scale
- Helicone's Migration from Postgres to ClickHouse for Advanced LLM Monitoring
- How trip.com migrated from Elasticsearch and built a 50PB logging solution with ClickHouse
