TimescaleDB vs VictoriaMetrics
On the evidence we track, TimescaleDB leads this comparison with a composite score of 55/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
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.
TimescaleDB
LeaderTimescaleDB 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.
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.
TimescaleDB
LeaderOpen 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
VictoriaMetrics
Prepaid yearly credits option with Stripe and AWS Marketplace fallback. One-month free trial.
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.
- S3
TimescaleDB
Leader- Kafka
- Iceberg
- AWS
- Azure
- Observability tools
- Postgres ecosystem
VictoriaMetrics
- Prometheus
- Logstash
- Fluentbit
- Promtail
- Elasticsearch
- Loki
- Grafana
- OpenLIT
- GCS
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.