Introduction: Breaking Prometheus’ limits
Prometheus alone cannot meet enterprise demands for high availability, long-term retention, disaster recovery, and multi-cluster observability. This gap has led to several extension projects — Thanos, Cortex, Mimir, and VictoriaMetrics.
Project comparison snapshot
Comparison | Prometheus federation | Thanos | Grafana Mimir | VictoriaMetrics | Cortex |
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High availability | ![]() |
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Remote storage | ![]() |
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Aggregated view | ![]() |
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Documentation | Limited | Good | Limited | Excellent | Excellent |
Maturity | Mature | Mature | Early stage | Mature | Mature |
Among these, Thanos and Mimir are the most widely adopted and debated. Let’s compare them in detail.
Thanos: simplicity and reliability
Thanos enhances Prometheus with a sidecar model:
- Sidecar: Uploads local blocks to object storage
- Query: Aggregates results from multiple sources
- Store Gateway: Serves block data from object storage
- Compactor: Downsamples and compacts TSDB blocks
- Ruler: Evaluates alert and recording rules
Advantages:
- Easy to set up
- Well-documented
- CNCF Incubating with strong community
Mimir: scalability at Grafana scale
Mimir is designed for extreme scalability and forms the metrics backbone of the LGTM stack.
- Ingester / Distributor / Querier pipeline
- RemoteWrite-based ingestion from Prometheus
- Store Gateway for long-term storage access
- Compactor and Ruler components
Key strength: consistent query performance at massive scale.
Latency benchmark results
Mimir
- 6h query: 80–100ms
- 7d query: 80–100ms
Thanos
- 6h query: 200–250ms
- 7d query: 2000–4000ms
Mimir maintains low latency even for week-long queries, while Thanos degrades significantly.
Operational trade-offs
Aspect | Mimir | Thanos |
---|---|---|
Philosophy | Built for scalability & performance | Simplicity & cost-efficiency |
Architecture | RemoteWrite ingestion | Sidecar model |
Risks | Ingester memory pressure | Compaction failures |
Ecosystem | Grafana Labs backed | CNCF community |
Latency | Consistently low | High for long queries |
Conclusion
- Mimir is ideal for organizations with rapidly growing metrics and a need for predictable query performance.
- Thanos remains an excellent choice for teams prioritizing simplicity and strong community backing.
When choosing between Thanos and Mimir, what do you value most?
- Query performance?
- Operational simplicity?
- Ecosystem maturity?