ClickHouse is an open-source, distributed columnar online analytical processing (OLAP) database for real-time analytics. It has matured into a highly performant and scalable engine capable of handling large-scale data analytics. Its incremental materialized view, efficient query engine and strong data compression make it ideal for interactive queries. Built-in support for approximate aggregate functions enables trade-offs between accuracy and performance, which is especially useful for high-cardinality analytics. The addition of the S3 storage engine and MergeTree allows separation of storage and compute, using S3-compatible storage for ClickHouse tables. We’ve also found ClickHouse to be an excellent backend for OpenTelemetry data and crash analytics tools like Sentry. For teams seeking a fast, open-source analytics engine, ClickHouse is an excellent choice.
ClickHouse is an open-source, columnar online analytical processing (OLAP) database for real-time analytics. It started as an experimental project in 2009 and has since matured into a highly performant and linearly scalable analytical database. Its efficient query processing engine together with data compression makes it suitable to run interactive queries without pre-aggregation. ClickHouse is also a great storage choice for OpenTelemetry data. Its integration with Jaeger allows you to store massive volumes of traces and analyze them efficiently.
ClickHouse is an open-source, columnar online analytical processing (OLAP) database for real-time analytics. It started as an experimental project in 2009 and since has matured into a highly performant and linearly scalable analytical database. It's efficient query processing engine together with data compression makes it suitable to run interactive queries without pre-aggregation. We've used ClickHouse and are quite impressed with its performance.
