
High-performance open-source time-series database for demanding workloads
QuestDB is an open-source, high-performance time-series database built from scratch for demanding workloads like financial trading, IoT, and infrastructure monitoring. It delivers ultra-low latency queries via standard SQL, supports nanosecond timestamps, and can ingest up to 4 million rows per second per instance.
Ingest up to 4 million rows per second per instance with minimal latency
Query years of historical time-series data in milliseconds using standard SQL
Native support for nanosecond-precision timestamps for financial and scientific data
Time-series specific join operations for correlating data across different time intervals
Pre-computed query results that update automatically for faster analytical queries
Native read/write support for Parquet format keeping data portable and AI-ready
Automatically manages data across hot and cold storage tiers for cost optimization
Store and analyze tick data, trades, order books, and OHLC data with nanosecond precision timestamps and ASOF joins
Ingest millions of sensor readings per second and run real-time analytical queries for anomaly detection
Collect and query metrics, logs, and traces from servers and applications with low-latency dashboards
Power live dashboards and materialized views over streaming time-series data for operational intelligence
Browser-based UI for running queries, visualizing results, and monitoring server configuration
Data natively indexed by timestamp and partitioned by time for optimal query performance
Supports InfluxDB Line Protocol for ingestion and PostgreSQL wire protocol for querying

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