vs

Atlas vs M3DB

Atlas: Netflix's in-memory dimensional time-series database for operational metrics, queried with a stack language. M3DB: Uber-born distributed TSDB and aggregator for Prometheus-scale metrics with tunable replication.

key differences

  • M3DB is built for larger datasets (Multi-PB) than Atlas (≤ 1 PB).
  • Only Atlas has in-memory.
  • Only M3DB has ttl / expiry, durable persistence, compression.

choose atlas for

  • +Operational metrics and dashboards for large microservice fleets
  • +Near-real-time alerting on dimensional service metrics
  • +Drill-down on high-cardinality request metrics during incidents

best at · Observability, Time-series

choose m3db for

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

best at · Observability, Time-series

overview
Primary model
Time-Series
Time-Series
Also supports
–
–
Type
Database engine
Database engine
Status
Active
Active
Developer
Netflix
M3 project (Uber, Chronosphere)
First release
2014
2018
Latest version
1.8.2 (Feb 27, 2026)
1.6.0 (Sep 25, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
3.0
4.2
Rank
#450
#416
GitHub stars
3.6K
4.9K
Stack Overflow questions
–
–
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
None
None
Consistency
Eventual
Tunable
Schema
Schemaless
Schemaless
Architecture
In memory, Distributed
Distributed, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
—
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
–
–
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
Atlas Stack Language (ASL)
PromQL, Graphite, M3QL
Client languages
Java, Go, C++, Python, Node.js
Go
Best for
Observability, Time-series
Observability, Time-series

Atlas vs M3DB: FAQ

What is the difference between Atlas and M3DB?

Atlas: Netflix's in-memory dimensional time-series database for operational metrics, queried with a stack language. M3DB: Uber-born distributed TSDB and aggregator for Prometheus-scale metrics with tunable replication. M3DB is built for larger datasets (Multi-PB) than Atlas (≤ 1 PB). Only Atlas has in-memory. Only M3DB has ttl / expiry, durable persistence, compression.

When should I choose Atlas over M3DB?

Choose Atlas for operational metrics and dashboards for large microservice fleets; near-real-time alerting on dimensional service metrics; and drill-down on high-cardinality request metrics during incidents. Choose M3DB for very large Prometheus remote-write backends, migrating Graphite at scale to PromQL and multi-resolution metrics retention.

Is Atlas or M3DB more popular?

M3DB ranks #416 on the WhichDB Score (4.2/100) and Atlas ranks #450 (3.0/100). Popularity is not fit: check the requirements that matter for your project.

Are Atlas and M3DB open source?

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