VictoriaMetrics
Time series databases
Data replication software
Backup software
Database software
Data recovery software
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What is VictoriaMetrics
VictoriaMetrics is a time series database and monitoring storage backend designed to ingest, store, and query high-cardinality metrics data. It is commonly used by platform and SRE teams as a long-term store for Prometheus-compatible metrics and as a backend for dashboards and alerting workflows. The product supports single-node and clustered deployments and includes components for ingestion, querying, and downsampling/retention management. It emphasizes compatibility with common metrics protocols and APIs used in cloud-native monitoring stacks.
Prometheus ecosystem compatibility
VictoriaMetrics supports Prometheus-style ingestion and querying patterns, which reduces migration effort for teams already using Prometheus exporters and scrape configurations. It provides PromQL-compatible query support for many common monitoring use cases. This makes it practical as a remote storage or long-term retention layer in environments standardized on Prometheus metrics. Compatibility also helps integrate with existing visualization and alerting tools that expect Prometheus-like APIs.
Flexible deployment options
The product is available as a single-node database and as a clustered architecture for horizontal scaling. This allows teams to start with a simpler footprint and move to distributed ingestion and query components as data volume grows. Clustered deployments can separate ingestion and query workloads to better match operational needs. These options support both on-premises and cloud environments.
Built-in retention and downsampling
VictoriaMetrics includes mechanisms for retention management and can support downsampling approaches (for example via associated components and configuration) to control storage growth. This helps organizations keep high-resolution data for short periods while retaining aggregated data longer. Such capabilities are relevant for monitoring programs that must balance cost with historical analysis needs. It also supports backup/restore workflows through documented operational procedures and tooling.
Not a general-purpose DB
VictoriaMetrics is optimized for time series metrics rather than transactional or document workloads. Teams needing joins, complex relational modeling, or multi-entity application data typically require additional databases. Query patterns outside time series analytics may be inefficient or unsupported. This can increase architectural complexity when organizations try to consolidate multiple data types into one system.
Cluster operations add complexity
Running the clustered version introduces more moving parts (separate ingestion, storage, and query components) than a single binary deployment. This increases requirements for capacity planning, failure-domain design, and operational monitoring of the database itself. Upgrades and configuration changes can require more coordination to avoid ingestion or query disruption. Smaller teams may find the operational overhead higher than managed alternatives.
Replication/DR depends on design
High availability and disaster recovery typically require deliberate architecture choices (for example, multi-zone deployment, external object storage backups, or cross-region replication patterns). The product’s replication and recovery posture depends on how operators configure clustering, backups, and infrastructure. Organizations with strict RPO/RTO targets may need additional tooling and runbooks to validate recovery procedures. This can be more work than platforms that provide fully managed replication and automated DR.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Single node (VictoriaMetrics Cloud starter) | From $225 per month (product page) | Starter single-node deployment handling up to 500k active time series with 1 month retention; includes downsampling, retention filters, alerting & recording rules, Alertmanager, Grafana integration, 99.5% SLA. |
| Cluster (VictoriaMetrics Cloud starter) | From $1,300 per month (product page) | Starter cluster deployment handling up to 250k active time series with 1 month retention; includes downsampling, retention filters, alerting & recording rules, Alertmanager, Grafana integration, AWS PrivateLink, multitenancy, HA & replication, 99.95% SLA. |
Notes:
- VictoriaMetrics Cloud billing is usage-based (metered hourly) and charges are comprised of compute, storage and external network (egress) usage. See vendor docs for full breakdown.
- The VictoriaMetrics documentation states "Pricing begins at ~$190/month for the smallest tiers"; detailed, up-to-date tier pricing is presented in the Cloud console when creating a deployment.
- Storage and networking example unit rates called out in official docs/FAQ: storage: $1.46 per 10 GB/month; external egress: $0.09 per GB.
- Free, time-limited trial/credits: registering a Cloud account grants $200 in credits valid for 7 days; the site also advertises a free 1‑week fully-managed Proof-of-Concept (PoC).
