Features
Prometheus local storage is limited in capacity and cannot scale horizontally, making it unsuitable for storing large volumes of historical metrics data. Lindorm Time Series Database (TSDB) solves this by acting as a high-performance, low-cost, stable, and reliable scalable remote storage backend for Prometheus. TSDB implements Prometheus's native remote write and read protocols directly, stores metrics at a high compression ratio, and delivers efficient read/write performance—without requiring a custom adapter.
Key capabilities
No remote storage adapter needed TSDB implements Prometheus's native remote storage protocols. Connect TSDB to Prometheus directly, with no custom adapter to write or maintain. This significantly reduces the costs of remote storage for Prometheus.
Native Prometheus Query Language (PromQL) support TSDB is highly compatible with PromQL syntax, which reduces the costs of development, migration, and maintenance.
Scalable long-term storage TSDB removes the capacity and horizontal scaling constraints of Prometheus local storage, providing scalable storage for large volumes of historical metrics data.
Use cases
Connect TSDB to Prometheus to support the following monitoring scenarios:
Monitor containerized applications in Kubernetes clusters
Monitor databases
Monitor application services
Monitor O&M resources
For more information about Prometheus monitoring scenarios, see the Prometheus official documentation.