Questdb is an open-source time-series database that stores, ingests, and queries high-volume time-stamped data using SQL, with native Parquet support and multi-tier storage.
QuestDB is an open-source, high-performance time-series database designed for real-time analytics and demanding data workloads. It offers ultra-low latency queries and extremely high ingestion throughput, making it suitable for applications such as financial trading, observability and monitoring, industrial telemetry, IoT sensor data, and mission-critical operations. The database uses a columnar storage engine optimized for time-series data, with a multi-tier architecture that efficiently handles hot, warm, and cold data across memory and disk.
QuestDB supports standard SQL for querying, including time-series specific functions such as sampling, interpolation, windowing, and downsampling. This allows teams to use familiar query patterns while working with large volumes of time-stamped data. Native support for Apache Parquet enables seamless integration with data lakes, analytics platforms, and AI/ML workflows, ensuring data portability and avoiding vendor lock-in.
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