QuestDB vs TimescaleDB
No clear leader: TimescaleDB (55.2) and QuestDB (50.3) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for time-series databases. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
QuestDB
QuestDB is an open-source time-series database engineered for low latency, delivering ultra-low latency ingestion, high throughput, and multi-tier storage for demanding time-series workloads.
TimescaleDB
TimescaleDB is a PostgreSQL extension designed to handle machine data and time-series workloads at scale, enabling operational databases for IoT platforms and physical-world monitoring.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
QuestDB
Open-source Apache 2.0 free tier; QuestDB Cloud and Enterprise plans available via contact/quote
TimescaleDB
Open source core; Cloud managed and Enterprise self-hosted options available; contact sales for pricing details
- Cloud Basic SupportFree
- Email support
- General questions
- Best practices guidance
- Cloud Production SupportContact sales
- 24x7 support for Severity 1-2
- 1h response for critical issues
- Support portal access
- On-call assistance
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Iceberg
QuestDB
- PostgreSQL
- Parquet
- Arrow
- Polars
- Pandas
- Debezium
- MySQL
- MongoDB
- Cassandra
TimescaleDB
- Kafka
- S3
- AWS
- Azure
- Observability tools
- Postgres ecosystem
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.