Dalmatiner DB
A fast, low-overhead metric database written in pure Erlang, optimized for time-series data storage and querying.
What is Dalmatiner DB?
DalmatinerDB is a metric database written in pure Erlang, specifically designed for storing and querying time-series data (timestamp and value pairs). It optimizes for speed and low overhead by leveraging filesystem capabilities like ZFS and using a flat binary storage format, making tradeoffs such as best-effort writes to prioritize high-volume ingestion.
Developers and operations teams needing a performant, self-hosted metric database for monitoring, telemetry, or IoT applications, especially those already using Erlang ecosystems or ZFS filesystems.
It offers a simplified, high-performance alternative to general-purpose time-series databases by explicitly embracing tradeoffs like filesystem delegation and best-effort writes, resulting in reduced complexity and efficient resource usage for metric-specific workloads.
Overview
Use Cases
Best For
- High-frequency metric ingestion from distributed systems
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
