Akumuli - Time-series database

  •        211

Akumuli is a time-series database for modern hardware. It can be used to capture, store and process time-series data in real-time. The word "akumuli" can be translated from Esperanto as "accumulate".

  • True column-oriented format (not PAX).
  • Based on novel LSM and B+tree hybrid datastructure with multiversion concurrency control (no concurrency bugs, parallel writes, optimized for SSD and NVMe).
  • Crash safety and recovery.
  • Fast aggregation without pre-configured rollups or materialized views.
  • Queries can be executed without decompressing the data.
  • Fast compression algorithm (dictionary + entropy) with small memory overhead (about 2.5 bytes per element on appropriate data).
  • Compressed in-memory storage for recent data.
  • Can be used as a server application or an embedded library.
  • Simple query language based on JSON and HTTP.
  • Fast range scans and joins, read speed doesn't depend on database cardinality.
  • Fast data ingestion over the network:
    • 4.5M data points per second on 8-core Intel Xeon E5-2670 v2 (m3.2xlarge EC2 instance).
    • 16.1M data points per second on 32-core Intel Xeon E5-2680 v2 (c3.8xlarge EC2 instance).
  • Query results are streamed to client using the chunked transfer encoding of the HTTP protocol.
  • Decompression algorithm and input parsers were fuzz-tested.
  • Grafana datasource plugin.
  • Fast and compact inverted index for series lookup.

http://akumuli.org
https://github.com/akumuli/Akumuli

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