vs

InfluxDB vs Prometheus

InfluxDB: Purpose-built time-series database, rebuilt in Rust on Arrow, DataFusion and Parquet for version 3. Prometheus: CNCF-graduated pull-based monitoring system with a local TSDB, PromQL and alerting rules.

key differences

  • InfluxDB is built for larger datasets (≤ 1 PB) than Prometheus (≤ 100 GB).
  • Horizontal scaling is native in InfluxDB and manual in Prometheus.
  • Only InfluxDB has joins, triggers, columnar storage, role-based access.
  • InfluxDB has a serverless option; Prometheus does not.

choose influxdb for

  • +Infrastructure and application metrics
  • +IoT sensor telemetry
  • +Industrial equipment monitoring at the edge
  • +Real-time Grafana dashboards

best at · Time-series, Observability, IoT

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
Columnar / OLAP
–
Type
Database engine
Database engine
Status
Active
Active
Developer
InfluxData
Prometheus Authors (CNCF)
First release
2013
2012
Latest version
3.12.1 (Oct 15, 2026)
3.15.1 (Oct 21, 2026)
License
Open source (permissive)MIT or Apache-2.0 (Core); Enterprise is commercial
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
51.0
70.8
Rank
#24
#9
GitHub stars
31.8K
66.8K
Stack Overflow questions
2.9K
7K
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Small (≤ 100 GB)
Horizontal scaling
Native
Manual
Multi-region
Read replicas
None
ACID
None
None
Consistency
Eventual
Eventual
Schema
Flexible
Schemaless
Architecture
Single node, Distributed, Shared storage, Client server
Single node
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
—
Serverless
✓
—
Embedded
—
—
Edge
✓
—
Clouds
AWS, Google Cloud, Azure
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
SQL, InfluxQL
PromQL
Client languages
Go, Python, Java, JavaScript, C#
Go, Java, Python, Ruby, Rust
Best for
Time-series, Observability, IoT, Real-time analytics
Observability, Time-series

InfluxDB vs Prometheus: FAQ

What is the difference between InfluxDB and Prometheus?

InfluxDB: Purpose-built time-series database, rebuilt in Rust on Arrow, DataFusion and Parquet for version 3. Prometheus: CNCF-graduated pull-based monitoring system with a local TSDB, PromQL and alerting rules. InfluxDB is built for larger datasets (≤ 1 PB) than Prometheus (≤ 100 GB). Horizontal scaling is native in InfluxDB and manual in Prometheus. Only InfluxDB has joins, triggers, columnar storage, role-based access.

When should I choose InfluxDB over Prometheus?

Choose InfluxDB for infrastructure and application metrics; IoT sensor telemetry; and industrial equipment monitoring at the edge. Choose Prometheus for kubernetes and microservice monitoring; SLO and symptom-based alerting; and host and infrastructure metrics via exporters.

Is InfluxDB or Prometheus more popular?

Prometheus ranks #9 on the WhichDB Score (70.8/100) and InfluxDB ranks #24 (51.0/100). Popularity is not fit: check the requirements that matter for your project.

Are InfluxDB and Prometheus open source?

Yes. InfluxDB is open source. License: MIT or Apache-2.0 (Core); Enterprise is commercial. Yes. Prometheus is open source. License: Apache License 2.0.