QuestDB
High-performance time-series database designed for AI agents and demanding workloads, offering ultra-low latency, high throughput, and SQL on open formats like Parquet.
QuestDB is an open-source alternative to:
QuestDB is the open-source time-series database built for demanding workloads requiring ultra-low latency, high ingestion throughput, and multi-tier storage. Native support for Parquet and SQL ensures data portability and AI-readiness without vendor lock-in.
Key Features
- Ultra-low latency & high throughput: 10x faster ingest than competitors, purpose-built for latency-sensitive workloads
- Multi-tier storage engine: Efficiently manages real-time and historical data with tiered architecture
- Standard SQL support: Familiar SQL interface with time-series optimizations for developers and AI agents
- Open data formats: Native Parquet and Iceberg support for portable, vendor-neutral data lakes
- Horizontal scalability: Distributed architecture scales seamlessly across multiple availability zones
- Production-ready resilience: High availability with multi-AZ support and enterprise-grade reliability
- AI agent compatibility: Enables AI agents to query data using standard SQL they already know
- Enterprise features: Advanced security, monitoring, and support for mission-critical deployments
Tech / Self-Hosting
QuestDB is open-source (Apache 2.0 licensed) and can be self-hosted on any infrastructure. The database is optimized for modern cloud environments but works equally well on bare-metal servers. Official Docker images and Helm charts are available for easy deployment. The project provides comprehensive documentation for installation, configuration, and performance tuning.