InfluxDB vs Prometheus

InfluxDB

Purpose-built time-series database

Prometheus

Monitoring and alerting toolkit

Feature InfluxDB Prometheus
Category Databases Monitoring
Sub-category Time-Series Metrics
Maturity mature mature
Complexity intermediate intermediate
Performance tier medium medium
License MIT Apache-2.0
License type permissive permissive
Pricing fully free fully free
GitHub stars 30.0K 57.0K
Contributors 500 300
Commit frequency weekly weekly
Plugin ecosystem none none
Docs quality good good
Backing org InfluxData CNCF
Funding model open_core foundation
Min RAM 1 GB 512 MB
Min CPU cores 2 1
Scaling pattern horizontal single_node
Self-hostable Yes Yes
K8s native No Yes
Offline capable Yes No
Vendor lock-in none none
Languages Go, Rust Go
API type REST REST
Protocols HTTP HTTP
Deployment docker, apt, binary docker, binary
SDK languages
Team size fit solo, small, medium, enterprise small, medium, enterprise
First release 2020 2020
Latest version

When to use InfluxDB

  • Primary: monitoring-metrics
  • Primary: iot-data-storage
  • Primary: real-time-analytics

When to use Prometheus

  • Primary: infrastructure-monitoring
  • Primary: alerting
  • Primary: kubernetes-metrics

InfluxDB anti-patterns

  • Flux language learning curve
  • v3 is a rewrite — migration needed
  • Cardinality limits can be frustrating

Prometheus anti-patterns

  • Not for log aggregation
  • Storage not for long-term by default
  • Pull model doesn't work for all cases
Full InfluxDB profile → Full Prometheus profile → All comparisons