Elasticsearch vs VictoriaMetrics: Key Differences & When to Use Each

Comprehensive side-by-side comparison of features, pricing, and metrics

Key Differences

Compare Elasticsearch and VictoriaMetrics across features, pricing, integrations, and community metrics. Elasticsearch / VictoriaMetrics.

Feature
Side-by-side comparison of developer tools
Distributed RESTful search and analytics engine
Fast, cost-effective monitoring solution and time series database
GitHub Stars
⭐ 78,369
⭐ 17,904
Contributors
👥 2,566
👥 435
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Java
Go
Features
  • • Elasticsearch
  • • Java
  • • Search Engine
  • • Database
  • • Grafana
  • • Graphite
  • • Influxdb
  • • Kubernetes
Integrations
  • • elasticsearch
  • • kubernetes
  • • prometheus
  • • grafana
Momentum Score
79/100 (stable)
53/100 (slowing)
Community Health
95/100 (excellent)
67/100 (moderate)
Maturity Index
92/100 (mature)
41/100 (emerging)
Innovation Score
63/100 (progressive)
69/100 (progressive)
Risk Score (higher is safer)
86/100 (minimal)
43/100 (medium)
Developer Experience
54/100 (needs-improvement)
37/100 (poor)
Links

Elasticsearch Strengths

  • ✓ More popular (78,369 stars)
  • ✓ Larger community (2,566 contributors)

VictoriaMetrics Strengths

  • ✓ More features (5 listed)

When to Use Elasticsearch vs VictoriaMetrics

Use Elasticsearch when its strengths align better with your stack and team needs, and choose VictoriaMetrics when its ecosystem, integrations, or cost profile is a better fit.

Data source: GitHub API

Last updated: 10/26/2026