whichdb
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Atlas vs Prometheus

Atlas: Netflix's in-memory dimensional time-series database for operational metrics, queried with a stack language. Prometheus: CNCF-graduated pull-based monitoring system with a local TSDB, PromQL and alerting rules.

key differences

  • Atlas is built for larger datasets (≤ 1 PB) than Prometheus (≤ 100 GB).
  • Horizontal scaling is native in Atlas and manual in Prometheus.
  • Only Atlas has in-memory.
  • Only Prometheus 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 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

AtlasNetflix's in-memory dimensional time-series database for operational metrics, queried with a stack language.
PrometheusCNCF-graduated pull-based monitoring system with a local TSDB, PromQL and alerting rules.
overview
Primary model
Time-Series
Time-Series
Also supports
–
–
Type
Database engine
Database engine
Status
Active
Active
Developer
Netflix
Prometheus Authors (CNCF)
First release
2014
2012
Latest version
1.8.2 (Feb 27, 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
3.0
70.8
Rank
#450
#9
GitHub stars
3.6K
66.8K
Stack Overflow questions
–
7K
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Small (≤ 100 GB)
Horizontal scaling
Native
Manual
Multi-region
None
None
ACID
None
None
Consistency
Eventual
Eventual
Schema
Schemaless
Schemaless
Architecture
In memory, Distributed
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
Atlas Stack Language (ASL)
PromQL
Client languages
Java, Go, C++, Python, Node.js
Go, Java, Python, Ruby, Rust
Best for
Observability, Time-series
Observability, Time-series
Add more to this comparisonNot sure either fits? Try smart match

Atlas vs Prometheus: FAQ

What is the difference between Atlas and Prometheus?

Atlas: Netflix's in-memory dimensional time-series database for operational metrics, queried with a stack language. Prometheus: CNCF-graduated pull-based monitoring system with a local TSDB, PromQL and alerting rules. Atlas is built for larger datasets (≤ 1 PB) than Prometheus (≤ 100 GB). Horizontal scaling is native in Atlas and manual in Prometheus. Only Atlas has in-memory.

When should I choose Atlas over Prometheus?

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 Prometheus for kubernetes and microservice monitoring; SLO and symptom-based alerting; and host and infrastructure metrics via exporters.

Is Atlas or Prometheus more popular?

Prometheus ranks #9 on the WhichDB Score (70.8/100) and Atlas ranks #450 (3.0/100). Popularity is not fit: check the requirements that matter for your project.

Are Atlas and Prometheus open source?

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