QuestDB
The fastest open source time series database.
Description
QuestDB is a purpose-built, open-source time-series database engineered for fast, reliable, and scalable management of time-series data. With a focus on ultra-low latency and high ingestion performance, it provides a developer-friendly SQL interface and multi-tier storage architecture to handle petabyte-scale datasets.
The platform natively supports open formats such as Parquet and integrates seamlessly with analytics and AI frameworks, enabling real-time queries and analytics for mission-critical use cases, especially in capital markets and high-frequency trading environments.
Key Features
- Ultra-low latency: Sub-millisecond query response times for real-time analytics
- SIMD-accelerated SQL: Vectorized queries leverage modern processor instructions for speed
- Multi-threaded engine: Parallel data ingestion and querying for high throughput
- High ingestion: Ingest up to 5 million rows per second
- Multi-tier storage: Tiered architecture with automated hot, real-time, and cold (Parquet) storage
- Native Parquet and SQL support: Standard SQL queries and open data formats; supports Arrow and Iceberg
- Postgres protocol compatibility: Connect using Postgres clients, tools, and drivers
- High availability: Automatic replication, failover, and cross-region resilience
- Enterprise-grade security: TLS, SSO, RBAC, and audit logs for granular access control
- Developer friendly: Easy-to-write SQL, materialized views, array processing, and open API
Use Cases
- Real-time market data management for trading platforms
- Central Securities Depository operations for stock exchanges
- Market data APIs for equities and derivatives trading
- Exchange surveillance and monitoring
- Historical time-series data analytics at petabyte scale
- AI/ML data lake for model development and deployment
- Post-trade analysis and reporting
- Regulated crypto asset trading infrastructure
Frequently Asked Questions
Which storage formats does QuestDB support?
QuestDB natively supports open storage formats such as Parquet, Arrow, and Iceberg, ensuring compatibility with modern analytics and AI workflows.
Does QuestDB offer high availability and failover?
Yes, QuestDB Enterprise provides automatic replication, multi-AZ resilience, and failover mechanisms for high availability in production deployments.
What is the difference between QuestDB Open Source and Enterprise?
QuestDB Open Source is intended for evaluation and prototyping, while QuestDB Enterprise includes advanced security, scalability, high availability, tiered storage, dedicated support, and SLAs for production use.
What protocols and integrations does QuestDB support?
QuestDB is compatible with the Postgres protocol and integrates with tools like Grafana, Kafka, Redpanda, Python, Pandas, Superset, Spark, Polars, Telegraf, MindsDB, and Flink.
What deployment options are available for QuestDB?
QuestDB can be deployed on-premises, in the cloud, in hybrid environments, or as a Bring Your Own Cloud (BYOC) solution with operational support.
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