Akumuli
A high-performance time-series database optimized for modern hardware, supporting both metrics and events with efficient compression.
What is Akumuli?
Akumuli is a time-series database optimized for modern hardware, designed to capture, store, and process time-series data in real-time. It uses a novel LSM and B+tree hybrid data structure with efficient compression, supporting both metrics and events. The database provides high-throughput ingestion, crash safety, and fast queries without dependency on database cardinality.
Developers and engineers building monitoring systems, IoT applications, or any platform requiring high-performance time-series data storage and real-time processing.
Akumuli offers superior compression performance, high write speeds, and flexible deployment options as a server or embedded library. Its design for modern SSDs/NVMe and support for tools like Grafana and Prometheus make it a robust choice for scalable time-series data management.
Overview
Time-series database
Use Cases
Best For
- Real-time monitoring and metrics collection systems
- High-frequency IoT data ingestion and storage
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