VictoriaMetrics
A cost-efficient time-series database for metrics storage and querying at scale
- Also known as
- victoriametrics
Available worldwide
What is VictoriaMetrics?
A high-performance time-series database optimized for storing, querying, and managing large volumes of metrics data cost-effectively, commonly used for monitoring and observability in cloud-native environments.
VictoriaMetrics pricing
We don't have VictoriaMetrics's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Open source with free evaluation; enterprise support available
What VictoriaMetrics does
The capabilities that matter for time-series databases, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Query language (SQL / PromQL / InfluxQL-Flux / Graphite)
- MetricsQL (metrics), LogsQL (logs)
- SQL compatibility
- Non-SQL
- Ingest model
- Both
- Data model
- Both
- Downsampling / rollups
- Continuous aggregates
- Retention / TTL
- Manual
- Compression (columnar / delta / Gorilla)
- -
- High-cardinality handling
- Strong
- Clustering / horizontal scale
- Distributed / sharded
- Replication / HA
- -
- Deployment
- Self-hosted
- Prometheus remote-write compatible
- ✓
- Licence class
- Permissive OSS
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- Self-hosted
Integrations (18)
Independently observed- Graphite⇄
- DataDog←
- InfluxDB←
- OpenTSDB←
- StatsD←
- Kubernetes←
- Jaeger←•
- OpenTelemetry←•
- Prometheus
- Logstash
- Fluentbit
- Promtail
- Elasticsearch
- Loki
- Grafana
- OpenLIT
- S3
- GCS
Security & compliance
Known vulnerabilities: 1 (1 in the last 12 months), max severity LOW sourcea count reflects scale & disclosure, not quality
VictoriaMetrics FAQ
Common questions about VictoriaMetrics, answered from independent, dated evidence.
What is VictoriaMetrics?
Open source time series database optimized for high-cardinality metrics and logs, with both self-hosted and cloud deployment options. It is indexed under Time-Series Databases.
Source: https://victoriametrics.com/blog/not-all-telemetry-deserves-premium-pricing/
What platforms does VictoriaMetrics support?
VictoriaMetrics supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://victoriametrics.com/blog/not-all-telemetry-deserves-premium-pricing/
Can VictoriaMetrics be self-hosted?
Yes. VictoriaMetrics can be deployed cloud / SaaS, hybrid and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://victoriametrics.com/blog/not-all-telemetry-deserves-premium-pricing/
What does VictoriaMetrics integrate with?
We have confirmed 10 integrations for VictoriaMetrics, including Prometheus, Logstash, Fluentbit, Promtail, Elasticsearch, Loki, Grafana and OpenLIT, plus 2 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://victoriametrics.com/blog/not-all-telemetry-deserves-premium-pricing/
What security certifications does VictoriaMetrics have?
We have independently confirmed ISO 27001 for VictoriaMetrics. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as VictoriaMetrics not holding them. Always confirm compliance directly before you rely on it.
Is VictoriaMetrics open source?
Yes. VictoriaMetrics is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Where is VictoriaMetrics available?
VictoriaMetrics is available worldwide. The vendor is headquartered in Ukraine.
Source: https://victoriametrics.com/blog/not-all-telemetry-deserves-premium-pricing/
VictoriaMetrics alternatives
Other time-series databases we track, ranked by the same independent score.
- PrometheusAn open-source monitoring system that collects metrics from applications and infrastructure via scraping, storing them as a time-series database for querying anmedium · 57%
- ClickHouseHigh-performance, open-source database designed for fast analytical queries at scalemedium · 60%
- InfluxDBA distributed database purpose-built for rapidly collecting and querying time-stamped observability data at scalemedium · 68%
- TimescaleDBA PostgreSQL extension for scaling time-series and operational data workloads to petabyte volumesmedium · 62%
- TDengineAI-powered time-series database for industrial IoT and sensor data managementmedium · 71%
- M3DBOpen-source distributed database for collecting and querying time series metrics at scalemedium · 51%
Compare VictoriaMetrics
Side by side against other time-series databases, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for VictoriaMetrics, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Development activity | 63 | 0.14 | 8.5 | ✓ |
| Stars | 80 | 0.05 | 3.8 | ✓ |
| Security posture | 30 | 0.12 | 3.7 | ✓ |
| Security score | 55 | 0.05 | 3.0 | ✓ |
| Capabilities | 29 | 0.08 | 2.3 | ✓ |
| Integrations | 27 | 0.05 | 1.5 | ✓ |
| Dependent projects | 24 | 0.05 | 1.3 | ✓ |
| Release cadence | 0 | 0.08 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 100 | mediumsource · 2026-10-15 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 7 items | mediumsource · 2026-09-10 · 69% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Clustering: distributed · Data model: both · Deployment: self_hosted · Downsampling: continuous_aggregates · Ingest model: both · Licence class: permissive_oss | mediumsource · 2026-10-15 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 8 | mediumsource · 2026-10-15 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Go | highsource · 2026-10-15 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-10-15 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: UA · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-13 · 75% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| History | 20 items | mediumsource · 2026-10-15 · 70% |
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-01 · 60% |
Security
| Attribute | Value | Evidence |
|---|---|---|
| Disclosure policy | Yes | mediumsource · 2026-08-01 · 60% |
| Iso27001 | Yes | highsource · 2026-08-01 · 75% |
| Scorecard | 5.5 | highsource · 2026-10-15 · 90% |
| Vulnerabilities | Count: 1 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=go&package_name=github.com%2FVictoriaMetrics%2FVictoriaMetrics&per_page=100 · Last 12m: 1 · Max severity: LOW | highsource · 2026-08-26 · 90% |
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