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SiriDB vs VictoriaMetrics

SiriDB: Small-footprint, clusterable time-series database with a query language built for grouping series. VictoriaMetrics: Resource-frugal, Prometheus-compatible metrics database, run as a single binary or a sharded cluster.

key differences

  • VictoriaMetrics is built for larger datasets (≤ 1 PB) than SiriDB (≤ 10 TB).
  • Only VictoriaMetrics has streaming ingest.

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

choose victoriametrics for

  • +Long-term storage for Prometheus metrics
  • +Kubernetes monitoring with vmagent and the operator
  • +Consolidating Graphite, Influx and Prometheus metrics in one store
  • +High-rate IoT telemetry

best at · Observability, Time-series, IoT

SiriDBSmall-footprint, clusterable time-series database with a query language built for grouping series.
VictoriaMetricsResource-frugal, Prometheus-compatible metrics database, run as a single binary or a sharded cluster.
overview
Primary model
Time-Series
Time-Series
Also supports
–
–
Type
Database engine
Database engine
Status
Active
Active
Developer
Cesbit
VictoriaMetrics Inc.
First release
2016
2018
Latest version
2.0.56 (Aug 25, 2026)
1.155.0 (Oct 26, 2026)
License
Open source (permissive)MIT License
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
4.0
26.8
Rank
#422
#109
GitHub stars
515
17.9K
Stack Overflow questions
–
143
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
None
None
Consistency
Eventual
Eventual
Schema
Schemaless
Schemaless
Architecture
Distributed, Client server
Single node, Distributed, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
–
AWS
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
SiriDB query language
MetricsQL, PromQL
Client languages
Python, Go, JavaScript, C
–
Best for
Time-series, Observability, IoT
Observability, Time-series, IoT
Add more to this comparisonNot sure either fits? Try smart match

SiriDB vs VictoriaMetrics: FAQ

What is the difference between SiriDB and VictoriaMetrics?

SiriDB: Small-footprint, clusterable time-series database with a query language built for grouping series. VictoriaMetrics: Resource-frugal, Prometheus-compatible metrics database, run as a single binary or a sharded cluster. VictoriaMetrics is built for larger datasets (≤ 1 PB) than SiriDB (≤ 10 TB). Only VictoriaMetrics has streaming ingest.

When should I choose SiriDB over VictoriaMetrics?

Choose SiriDB for self-hosted infrastructure monitoring backends, embedded or resource-constrained metrics storage and grafana dashboards over many similar series. Choose VictoriaMetrics for long-term storage for Prometheus metrics; kubernetes monitoring with vmagent and the operator; and consolidating Graphite, Influx and Prometheus metrics in one store.

Is SiriDB or VictoriaMetrics more popular?

VictoriaMetrics ranks #109 on the WhichDB Score (26.8/100) and SiriDB ranks #422 (4.0/100). Popularity is not fit: check the requirements that matter for your project.

Are SiriDB and VictoriaMetrics open source?

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