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.

• This project uses Wiki for documentation
• Installation & build instructions
• Getting started guide
• Data model

Google group