#time-series-database

#time-series-database

The main feature of the 3.0 release is a new decoupled architecture. This change fixes a key limitation found in earlier versions. In earlier versions of Mimir, the ingester component handled both reading and writing. This setup meant that heavy query loads could hurt ingestion performance. The new design adds Apache Kafka as an asynchronous buffer between ingestion and query tasks. This allows each path to scale on its own and removes the cross-path dependencies that affected system stability before.

"Time series data never stops and managing it at scale has always come with trade-offs [in terms of] performance, complexity, or cost," said Paul Dix, founder and CTO of InfluxData.