QuestDB
Low-latency time-series database on open formats.
GitHub Stars
17.0k+
Ingestion Throughput
8 million rows/sec
Query Speed
5,000+ queries/sec
About QuestDB
QuestDB is a high-performance, open-source SQL database built for time-series data. It is engineered for extreme performance, capable of ingesting millions of rows per second and executing queries with ultra-low latency. Key features include specialized time-series SQL extensions like `ASOF JOIN` and `SAMPLE BY`, a multi-tiered storage engine that automatically manages data between real-time and historical cold storage, and native support for open formats like Apache Parquet. This architecture makes it ideal for critical workloads in capital markets, aerospace, and energy. QuestDB offers a self-serve open-source version and an Enterprise solution with additional features for high availability, security, and support, positioning itself as a scalable and interoperable core for modern data infrastructure.
Core Features
Sql For Time-Series
Includes specialized SQL extensions like ASOF JOIN, SAMPLE BY, and materialized views for time-series analytics.
Performance
Purpose-built for low-latency and high-throughput workloads, vectorized for multi-core execution.
Multi-Tier Storage
Automatically tiers data from a real-time hot tier (Write-Ahead Log) to a native columnar format, and finally to cold storage in Apache Parquet.
Open & Interoperable
Uses open standards like SQL, Apache Parquet, and PGWire to prevent vendor lock-in and integrate with AI/ML tooling.
Editions
Open Source
Free, self-hosted version with the core high-performance database engine. Licensed under Apache 2.0.
Enterprise
Paid version adding High Availability, replication, advanced security (RBAC, SSO, TLS), and 24/7 expert support.
Primary Use Cases
Capital Markets
Real-time market data analysis, trade surveillance, and algorithmic trading.
Aerospace & Iot
Real-time monitoring of sensor data from industrial equipment and vehicles.
Ai & Data Analytics
Serving as a high-performance data source for AI agents and analytical dashboards.