Head-to-head · Time-Series Databases
Prometheus vs VictoriaMetrics
Prometheus leads on 0 checks, VictoriaMetrics on 1, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scorePrometheus · 8.8/10
- Free planboth
- Most featuresVictoriaMetrics · 2 of 3
Prometheus scores higher on our rubric for time-series databases: 8.8 against 8.5 out of 10; our editors rank them #5 and #8.
On deployment, VictoriaMetrics gives you Both where Prometheus offers Self_hosted. VictoriaMetrics offers horizontal scaling; Prometheus doesn't.
Prometheus is the better fit for prometheus-native monitoring metrics. VictoriaMetrics is the better fit for prometheus-compatible metrics at scale.
- Prometheus fits best
Prometheus-native monitoring metrics
- VictoriaMetrics fits best
Prometheus-compatible metrics at scale
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Side by side
| Feature | Prometheus 8.8/10 Visit ↗ | VictoriaMetrics 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 8.5 |
| Ranking | #5 in Time-Series Databases | #8 in Time-Series Databases |
| Best for | Prometheus-native monitoring metrics | Prometheus-compatible metrics at scale |
| Pricing model | Free | Free plan + paid |
| Starting price | Free plan | Free plan |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Self-hosted | Cloud, Self-hosted |
| Platforms | Web, Windows, macOS, Linux | Web, Windows, Linux |
| Support | Community, Docs | Email, Community, Docs |
| Integrations | 8 integrations | 15 integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Prometheus 1/3 · VictoriaMetrics 2/3 | ||
| SQL support | — | — |
| Retention policies | ✓ | ✓ |
| Horizontal scaling | — | ✓ (best) |
| Specs | ||
| Deployment | Self_hosted | Both |
| Query languages | PromQL | MetricsQL, PromQL |
| Ingestion methods | HTTP pull scraping; Pushgateway; Remote Write; OpenMetrics backfilling | Prometheus scraping, Prometheus remote write, Prometheus exposition, InfluxDB line protocol, Graphite plaintext, OpenTSDB, JSON line, CSV, native binary, DataDog, NewRelic, OpenTelemetry, Zabbix Connector |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Prometheus is an open-source monitoring and alerting toolkit for infrastructure, applications, and services, particularly in dynamic and microservice-oriented environments. It collects numeric metrics through HTTP-based scraping and stores… Read the review → |
VictoriaMetrics is an open-source time-series database and monitoring solution for teams collecting, storing, and querying high-cardinality metrics. It supports self-hosted single-node deployments, horizontally scalable clusters, and a… Read the review → |
Strengths and trade-offs
Prometheus — where it wins
- PromQL supports selecting and aggregating labeled time-series data.
- HTTP scraping, service discovery, and exporters support metric collection.
- Recording rules, Alertmanager, federation, and remote storage extend monitoring.
Where it doesn't
- No SQL support for querying time-series data.
- Local storage is single-node rather than horizontally scaled.
- Broader architectures require federation or remote-storage integrations.
VictoriaMetrics — where it wins
- Free Apache 2.0 open-source edition with single-node and cluster versions
- PromQL-compatible querying, MetricsQL, and long-term Prometheus storage
- Horizontal scaling, replication, multi-tenancy, and configurable retention
Where it doesn't
- Cloud pricing starts at $200 per month
- Enterprise pricing requires contacting sales
- Metrics-focused design excludes SQL support
- Prometheus8.8/10 · Free plan
A Prometheus-native metrics platform with PromQL, alerting, retention, and federation.
Visit PrometheusFull verdict → - VictoriaMetrics8.5/10 · Free plan
A strong Prometheus-compatible metrics store, but not a SQL-oriented database.
Try VictoriaMetricsFull verdict →
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All Time-Series databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





