vs

Prometheus vs SiriDB

Prometheus: CNCF-graduated pull-based monitoring system with a local TSDB, PromQL and alerting rules. SiriDB: Small-footprint, clusterable time-series database with a query language built for grouping series.

key differences

  • SiriDB is built for larger datasets (≤ 10 TB) than Prometheus (≤ 100 GB).
  • Horizontal scaling is manual in Prometheus and native in SiriDB.
  • Only Prometheus has streaming ingest.

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

choose siridb for

  • +Self-hosted infrastructure monitoring backends
  • +Embedded or resource-constrained metrics storage
  • +Grafana dashboards over many similar series

best at · Time-series, Observability, IoT

overview
Primary model
Time-Series
Time-Series
Also supports
–
–
Type
Database engine
Database engine
Status
Active
Active
Developer
Prometheus Authors (CNCF)
Cesbit
First release
2012
2016
Latest version
3.15.1 (Oct 21, 2026)
2.0.56 (Aug 25, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)MIT License
Free tier
✓
✓
popularity
WhichDB Score
70.8
4.0
Rank
#9
#422
GitHub stars
66.8K
515
Stack Overflow questions
7K
–
scale & guarantees
Comfortable data size
Small (≤ 100 GB)
Medium (≤ 10 TB)
Horizontal scaling
Manual
Native
Multi-region
None
None
ACID
None
None
Consistency
Eventual
Eventual
Schema
Schemaless
Schemaless
Architecture
Single node
Distributed, Client server
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
SiriDB query language
Client languages
Go, Java, Python, Ruby, Rust
Python, Go, JavaScript, C
Best for
Observability, Time-series
Time-series, Observability, IoT

Prometheus vs SiriDB: FAQ

What is the difference between Prometheus and SiriDB?

Prometheus: CNCF-graduated pull-based monitoring system with a local TSDB, PromQL and alerting rules. SiriDB: Small-footprint, clusterable time-series database with a query language built for grouping series. SiriDB is built for larger datasets (≤ 10 TB) than Prometheus (≤ 100 GB). Horizontal scaling is manual in Prometheus and native in SiriDB. Only Prometheus has streaming ingest.

When should I choose Prometheus over SiriDB?

Choose Prometheus for kubernetes and microservice monitoring; SLO and symptom-based alerting; and host and infrastructure metrics via exporters. Choose SiriDB for self-hosted infrastructure monitoring backends, embedded or resource-constrained metrics storage and grafana dashboards over many similar series.

Is Prometheus or SiriDB more popular?

Prometheus ranks #9 on the WhichDB Score (70.8/100) and SiriDB ranks #422 (4.0/100). Popularity is not fit: check the requirements that matter for your project.

Are Prometheus and SiriDB open source?

Yes. Prometheus is open source. License: Apache License 2.0. Yes. SiriDB is open source. License: MIT License.