vs

M3DB vs Prometheus

M3DB: Uber-born distributed TSDB and aggregator for Prometheus-scale metrics with tunable replication. Prometheus: CNCF-graduated pull-based monitoring system with a local TSDB, PromQL and alerting rules.

key differences

  • M3DB is built for larger datasets (Multi-PB) than Prometheus (≤ 100 GB).
  • Horizontal scaling is native in M3DB and manual in Prometheus.

choose m3db for

  • +Very large Prometheus remote-write backends
  • +Migrating Graphite at scale to PromQL
  • +Multi-resolution metrics retention

best at · Observability, Time-series

choose prometheus for

  • +Kubernetes and microservice monitoring
  • +SLO and symptom-based alerting
  • +Host and infrastructure metrics via exporters
  • +Short-term metrics store feeding a long-term backend via remote write

best at · Observability, Time-series

overview
Primary model
Time-Series
Time-Series
Also supports
–
–
Type
Database engine
Database engine
Status
Active
Active
Developer
M3 project (Uber, Chronosphere)
Prometheus Authors (CNCF)
First release
2018
2012
Latest version
1.6.0 (Sep 25, 2026)
3.15.1 (Oct 21, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
4.2
70.8
Rank
#416
#9
GitHub stars
4.9K
66.8K
Stack Overflow questions
–
7K
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Small (≤ 100 GB)
Horizontal scaling
Native
Manual
Multi-region
None
None
ACID
None
None
Consistency
Tunable
Eventual
Schema
Schemaless
Schemaless
Architecture
Distributed, Client server
Single node
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
—
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
–
AWS, Google Cloud, Azure
capabilities
Transactions
—
—
Joins
—
—
Secondary indexes
—
—
Full-text search
—
—
Vector search
—
—
Geospatial
—
—
JSON
—
—
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
✓
✓
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
—
—
Role-based access
—
—
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
✓
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
PromQL, Graphite, M3QL
PromQL
Client languages
Go
Go, Java, Python, Ruby, Rust
Best for
Observability, Time-series
Observability, Time-series

M3DB vs Prometheus: FAQ

What is the difference between M3DB and Prometheus?

M3DB: Uber-born distributed TSDB and aggregator for Prometheus-scale metrics with tunable replication. Prometheus: CNCF-graduated pull-based monitoring system with a local TSDB, PromQL and alerting rules. M3DB is built for larger datasets (Multi-PB) than Prometheus (≤ 100 GB). Horizontal scaling is native in M3DB and manual in Prometheus.

When should I choose M3DB over Prometheus?

Choose M3DB for very large Prometheus remote-write backends, migrating Graphite at scale to PromQL and multi-resolution metrics retention. Choose Prometheus for kubernetes and microservice monitoring; SLO and symptom-based alerting; and host and infrastructure metrics via exporters.

Is M3DB or Prometheus more popular?

Prometheus ranks #9 on the WhichDB Score (70.8/100) and M3DB ranks #416 (4.2/100). Popularity is not fit: check the requirements that matter for your project.

Are M3DB and Prometheus open source?

Yes. M3DB is open source. License: Apache License 2.0. Yes. Prometheus is open source. License: Apache License 2.0.