QuestDB vs VictoriaMetrics
No clear leader: QuestDB (50.3) and VictoriaMetrics (45.7) 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.
VictoriaMetrics
Open source time series database optimized for high-cardinality metrics and logs, with both self-hosted and cloud deployment options.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
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.
QuestDB
- PostgreSQL
- Parquet
- Arrow
- Polars
- Pandas
- Debezium
- Iceberg
- MySQL
- MongoDB
- Cassandra
VictoriaMetrics
- Prometheus
- Logstash
- Fluentbit
- Promtail
- Elasticsearch
- Loki
- Grafana
- OpenLIT
- S3
- GCS
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.