- Easy to explore and get started using the demo and open-source version
- Highly performant, with concurrent writes over different flavours of data API.
- Column-store storage model, aiding prototyping and flexibility to modify the schema of large datasets.
- Provides a relational model and query language which simplifies migration of existing domain models.
- CSV import/export, useful for integration with existing database infrastructure.
- Good set of key primitives for maintenance and data lifecycle management.
- Roadmap brings key improvements around replication, data sharding, and aggregation functions.
- Support for some OLTP use cases, with UPDATE and PUT-style de-duplication.
- Approachable maintainers with a growing and supportive community.
- Supports a variety of third-party integrations, helping to integrate the database as a storage layer within larger systems.
- Overall, a fast and flexible database that can support a variety of use cases.
UI
Verified User in Information Technology and Services
QuestDB is so easy that a one person can handle a database with millions of rows.
Nice Dashboard
Very very fast (50million rows in less than 100ms)
Easy to manage with docker and kamal.
Easy to learn
Easy to install and implement
My Daily usage routing is to check QuestDB
The support team from Slack is fantastic
- stellar query performance
- comprehensive documentation
- easy to setup and use
- best in class support
- compares favourably to KDB, once they have missing features, I can see it being actively replacing KDB
QuestDB is an open-source, SQL-first time-series database for the toughest workloads—from trading floors to mission control. Vectorized columnar execution delivers high-throughput ingest and millisecond queries. Multi-tier hot→Parquet on object storage via one SQL surface. Open formats (Parquet/Arrow), AI-ready, and lock-in free.