M3DB vs VictoriaMetrics
On the evidence we track, M3DB leads this comparison with a composite score of 51/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for time-series databases. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
M3DB
LeaderM3 is a distributed time series database built for storing and querying high-volume metrics with multiple query languages. It can be deployed as a single node or multi-node cluster using Docker, Kubernetes, or binaries.
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.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Prometheus
- Graphite
- Kubernetes
- InfluxDB
M3DB
Leader- Docker
- etcd
VictoriaMetrics
- Logstash
- Fluentbit
- Promtail
- Elasticsearch
- Loki
- Grafana
- OpenLIT
- S3
- GCS
- DataDog
- StatsD
- OpenTSDB
- Jaeger
- OpenTelemetry
M3DB or VictoriaMetrics: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.