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FastSTDB is a time-series and spatial-temporal database for modern hardware. It can be used to capture, store and process time-series or spatial-temporal data in real-time.

Features

• Column-oriented storage.
• Based on B+tree with multiversion concurrency control (no concurrency bugs, parallel writes, optimized for SSD and NVMe).
• Supports both metrics and events.
• Fast and effecient compression algorithm that outperforms 'Gorilla' time-series compression.
• Crash safety and recovery.
• Fast aggregation without pre-configured rollups or materialized views.
• Many queries can be executed without decompressing the data.
• Compressed in-memory storage for recent data.
• Can be used as a server application or embedded library.
• Simple API based on JSON and HTTP.
• Fast range scans and joins, read speed doesn't depend on database cardinality.
• Fast data ingestion:
• Queries are executed lazily. Query results are produced as long as client reads them.
• Compression algorithm and input parsers are fuzz-tested on every code change.
• Fast and compact inverted index for time-series lookup.