tsink
A lightweight time-series database written in Rust, deployable as an embedded library, standalone server, or scalable cluster.
What is tsink?
tsink is a lightweight, high-performance time-series database written in Rust. It provides a robust storage engine with features like a segmented WAL, LSM-style compaction, and adaptive encoding, and it supports multiple deployment modes including embedding directly in applications, running as a standalone server, or scaling as a distributed cluster.
Developers and engineers building monitoring, observability, or IoT systems who need a flexible, embeddable time-series database, particularly those working with Rust or Python applications or requiring multi-protocol ingestion (e.g., Prometheus, InfluxDB, OTLP).
Developers choose tsink for its zero-external-dependency, secure-by-default design and its unique flexibility in deployment—the same core engine can be embedded, run as a server, or clustered without switching technologies. It also stands out with built-in PromQL support and native multi-protocol ingestion, eliminating the need for external query layers or adapters.
Overview
A lightweight time-series database written in Rust. Embed it, run it as a server, or scale it as a cluster.
Use Cases
Best For
- Embedding a full-featured time-series database directly within a Rust or Python application for local metric storage and querying.
Related Projects
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