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VictoriaMetrics

by VictoriaMetrics

Open-source high-performance time-series database fully compatible with Prometheus — provides long-term metrics storage for APAC Kubernetes clusters with 10-20x higher ingestion throughput and 7x better storage compression than Prometheus TSDB, enabling APAC platform teams to store months of metrics history at costs where Prometheus local storage would require frequent compaction and data loss.

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AIMenta verdict
Recommended
5/5

"High-performance time-series database for long-term APAC metrics storage — 10-20x faster ingestion than Prometheus at comparable hardware with 7x less storage. APAC platform teams use VictoriaMetrics for multi-cluster metric federation when Prometheus remote storage limits hit."

Features
6
Use cases
3
Watch outs
3
What it does

Key features

  • 7x better compression — APAC metrics stored at fraction of Prometheus TSDB storage cost
  • 10-20x higher ingestion throughput — single-node APAC metrics collection at Prometheus cluster scale
  • Prometheus-compatible API — APAC Grafana dashboards and alerts work without modification
  • MetricsQL — VictoriaMetrics superset of PromQL with additional APAC aggregation functions
  • Prometheus remote_write — incremental APAC migration path alongside existing Prometheus
  • vmcluster — horizontally scalable APAC deployment for million-series metric environments
When to reach for it

Best for

  • APAC platform teams hitting Prometheus storage limits — VictoriaMetrics provides the same Prometheus query interface with 7x better storage efficiency for APAC long-term metric retention
  • APAC multi-cluster environments where Prometheus federation adds architectural complexity — VictoriaMetrics single-node or cluster handles APAC metric volumes that require Prometheus federation hierarchies
  • APAC cost-conscious platform teams wanting months of metric history — VictoriaMetrics long-term storage economics enable 12+ month APAC metric retention at costs where Prometheus would require frequent data deletion
Don't get burned

Limitations to know

  • ! No native alerting — VictoriaMetrics stores and queries metrics but alerting requires vmalert (included in stack) or external Prometheus AlertManager; APAC teams must maintain alert rule infrastructure separately
  • ! Operational difference from Prometheus — VictoriaMetrics operates differently enough internally that APAC platform teams moving from Prometheus-only deployments have a learning curve for capacity planning and troubleshooting
  • ! Less APAC community content than Prometheus — while growing, APAC production deployment guides and troubleshooting resources are less abundant than the mature Prometheus ecosystem
Context

About VictoriaMetrics

VictoriaMetrics is an open-source time-series database designed as a high-performance, storage-efficient replacement and complement for Prometheus long-term storage — fully compatible with the Prometheus query API (PromQL and MetricsQL superset) so existing APAC Grafana dashboards, alerting rules, and recording rules work without modification after migrating APAC metric storage from Prometheus to VictoriaMetrics.

VictoriaMetrics's storage efficiency advantage — where the VictoriaMetrics TSDB achieves 7x higher compression than Prometheus TSDB by using more sophisticated compression algorithms for APAC time-series samples and timestamps — enables APAC platform teams to store the same 12-month metric history in 7x less disk space, reducing APAC metrics storage costs proportionally and making long-term metric retention economically viable without expensive SSD storage arrays.

VictoriaMetrics's ingestion throughput — where VictoriaMetrics can ingest 10-20x more metric samples per second than Prometheus at equivalent CPU and memory, handling APAC environments with 500,000+ active APAC time series across dozens of Kubernetes clusters without requiring the horizontal scaling and federation complexity that Prometheus architectures at that scale require — enables APAC platform teams to consolidate multi-cluster APAC metrics into a single VictoriaMetrics instance rather than operating Prometheus federation hierarchies.

VictoriaMetrics's Prometheus remote write compatibility — where existing APAC Prometheus instances use `remote_write` to ship metrics to VictoriaMetrics for long-term storage while Prometheus continues local short-term storage — enables incremental APAC migration: APAC platform teams keep existing Prometheus for scraping and alerting while adding VictoriaMetrics as the long-term storage backend, with Grafana querying VictoriaMetrics for APAC historical dashboards and Prometheus for APAC real-time alerting.

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