Store billions of time-series data points with intelligent compression.
Query in milliseconds. Built with Rust for maximum performance.
Three core strengths that make Pulsora exceptional
Sub-millisecond queries with intelligent block caching. 350K+ rows/sec ingestion. Optimized for high-frequency time-series data.
2-10x compression with type-specific algorithms. Store more data in less space without sacrificing query speed.
Ingest and export in multiple formats. Seamless integration with your existing data pipelines.
No complex setup. No configuration files. Just run and go.
cargo install --git https://github.com/muvon/pulsora.git
pulsora
Server starts on localhost:8080
curl -X POST http://localhost:8080/tables/stocks/ingest \
-H "Content-Type: text/csv" \
--data-binary @data.csv
Automatic schema inference
Optimized for high-frequency time-series workloads
Tick data, OHLCV bars, order books. Microsecond timestamps. Optimized compression for price/volume data.
Millions of sensors, continuous streams. Temperature, pressure, vibration. Efficient storage for slowly-changing values.
Application performance, request rates, error counts. System metrics, resource utilization. Fast time-window aggregations.
Manufacturing equipment, production lines. Real-time monitoring with historical analysis. Predictive maintenance datasets.
Production-ready architecture with battle-tested components
Memory safe, thread safe, no GC pauses. Predictable performance.
LSM-tree storage. ACID transactions. Proven durability.
Block-based architecture. Type-specific compression algorithms.
Async runtime. High-performance HTTP server.
Open source, Apache 2.0 licensed. Free forever.