Mimir

Grafana Mimir is an open-source, horizontally scalable, multi-tenant time series database (TSDB) designed for long-term storage of Prometheus and OpenTelemetry metrics.

Reviewed by 7wData

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Grafana Mimir is an open-source, horizontally scalable, multi-tenant time series database (TSDB) designed for long-term storage of Prometheus and OpenTelemetry metrics. Announced by Grafana Labs in 2022 and released under the AGPLv3 license, Mimir targets organizations that need to store and query metrics at massive scale—tested to 1 billion active series—while maintaining high availability and strong multi-tenancy. It is best suited for mid-to-large teams already invested in the Prometheus ecosystem who require a centralized metrics backend that can replace or augment individual Prometheus servers, and who have the operational capacity to manage a clustered distributed system. Mimir integrates natively with Grafana for visualization and monitoring, and is the backbone of Grafana Cloud Metrics, the vendor's managed service.

Mimir achieves its scale and performance through a horizontally scalable, clustered architecture that separates ingestion, storage, and query paths. It is 100% Prometheus compatible, supporting remote write, PromQL, and alerting, and can also ingest metrics from InfluxDB, OpenTelemetry, Graphite, and Datadog agents. Long-term storage is offloaded to object stores such as S3, GCS, Azure Blob Storage, or OpenStack Swift, rather than requiring local persistent disks. The Mimir 3.0 release introduced a decoupled read/write architecture that eliminates cross-path dependencies, and a new streaming query engine that reduces memory usage by processing query results incrementally instead of loading entire datasets into RAM. Grafana Labs reports that large internal clusters saw up to 15% lower resource usage after upgrading to 3.0, while maintaining higher reliability and query performance.

Mimir competes directly with VictoriaMetrics and Thanos, two other popular open-source Prometheus-compatible backends. Compared to VictoriaMetrics, Mimir is considered more complex to operate, especially for small teams, but offers stronger multi-tenancy and isolation features. VictoriaMetrics stores data on local persistent disks (block storage), while Mimir relies on object storage (S3, GCS, etc.), which can simplify capacity planning but introduces different latency characteristics. Thanos also uses object storage and allows users to keep Prometheus as the ingester, whereas Mimir forces the use of its own ingesters, which some operators see as a trade-off in flexibility. Mimir's development is led by Grafana Labs, giving it tight integration with Grafana and a large corporate backer, while VictoriaMetrics is developed by a smaller independent team. All three projects are open source, but Mimir's AGPLv3 license is more restrictive than VictoriaMetrics' Apache 2.0 license.

The primary trade-off with Mimir is its operational complexity: it requires configuring and running a multi-component cluster (ingesters, distributors, queriers, compactors, etc.), which is not suitable for small teams or simple use cases. The reliance on ingesters (rather than allowing Prometheus to serve as the ingester, as Thanos does) is a specific architectural constraint that some users find limiting. While Mimir is free and open source, running it at scale demands significant infrastructure and expertise; the managed Grafana Cloud Metrics service is an alternative for teams that want Mimir's capabilities without the operational overhead. Additionally, as dashboards and data volumes grow, Grafana itself can slow down and require more powerful machines, adding cost and complexity—though this is a Grafana concern rather than a Mimir-specific one. Finally, Mimir's AGPLv3 license may be a consideration for organizations with strict policies around copyleft licensing.

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How it works

  1. Prometheus-compatible TSDB

    100% compatible with Prometheus remote write, PromQL, and alerting, enabling seamless migration from standalone Prometheus servers.

  2. Horizontally scalable architecture

    Clustered design automatically shards and replicates data; adding instances increases capacity without manual rebalancing.

  3. Multi-tenancy with isolation

    Supports multiple tenants with strong isolation, allowing separate teams or customers to share a single Mimir cluster securely.

  4. Object storage backend

    Stores data on S3, GCS, Azure Blob Storage, or OpenStack Swift, decoupling compute from durable long-term storage.

  5. Streaming query engine

    Mimir 3.0's new query engine streams results incrementally, reducing memory spikes and improving query speed at scale.

  6. Multi-protocol ingestion

    Ingests metrics not only from Prometheus but also from InfluxDB, OpenTelemetry, Graphite, and Datadog agents.

  7. High availability via replication

    Replicates data across ingesters and stores redundant copies in object storage, ensuring no data loss on node failures.

Strengths and trade-offs

Strengths

  • Tested to handle 1 billion active series, making it suitable for the largest enterprise monitoring environments.
  • Mimir 3.0's decoupled read/write architecture and streaming query engine reduce memory usage and improve query stability under heavy ingestion loads.
  • Grafana Labs reports up to 15% lower resource usage in large internal clusters after upgrading to Mimir 3.0.
  • Tight integration with Grafana for visualization and alerting, backed by the same company that develops both projects.

Trade-offs

  • Operational complexity is high; requires configuring and maintaining a multi-component cluster, which is not suitable for small teams or simple use cases.
  • Forces the use of Mimir's own ingesters rather than allowing Prometheus to serve as the ingester, unlike Thanos which offers more flexibility.
  • Relies on object storage (S3, GCS, etc.) rather than local persistent disks, which can introduce higher latency for certain query patterns compared to VictoriaMetrics.
  • Licensed under AGPLv3, which is more restrictive than the Apache 2.0 license used by VictoriaMetrics, potentially limiting adoption in some organizations.

Pricing context

Free open-source version available under AGPLv3 license. Managed cloud version available as Grafana Cloud Metrics with usage-based pricing (no public fixed tiers listed).

Getting started with Mimir

  1. Download and install Mimir

    Download the latest Mimir binary or container image from the Grafana Labs GitHub releases page. Deploy the binary on a Linux server or run the container in your orchestration environment, ensuring you have the necessary dependencies like an object store.

  2. Configure object storage backend

    Edit the Mimir configuration file to set your object storage backend, such as S3, GCS, or Azure Blob Storage. Provide the bucket name, region, and credentials so Mimir can store time series data durably and scale without local disks.

  3. Set up multi-tenancy

    Define tenant IDs in the configuration to enable multi-tenancy. Each tenant represents a separate team or customer, with isolated metrics and query access. Assign authentication tokens per tenant to enforce secure boundaries.

  4. Ingest Prometheus metrics

    Configure your Prometheus servers to remote write metrics to Mimir by setting the remote_write URL to your Mimir distributor endpoint. Include the tenant ID and authentication token in the request headers to start streaming metrics into the cluster.

  5. Query metrics in Grafana

    Add Mimir as a Prometheus data source in Grafana by specifying the Mimir query frontend URL. Use PromQL to explore and visualize your metrics in dashboards, leveraging Mimir's streaming query engine for fast results at scale.

Frequently Asked Questions

What is Grafana Mimir and what is it used for?

Grafana Mimir is an open-source, horizontally scalable time series database designed for long-term storage of Prometheus and OpenTelemetry metrics. It handles massive scale, tested to 1 billion active series, and provides strong multi-tenancy for organizations needing a centralized metrics backend.

How does Mimir achieve horizontal scalability and high performance?

Mimir uses a clustered architecture that separates ingestion, storage, and query paths. It automatically shards and replicates data across instances. The Mimir 3.0 release introduced a decoupled read/write architecture and a streaming query engine that reduces memory usage by processing results incrementally.

What are the main differences between Mimir and VictoriaMetrics?

Mimir is considered more complex to operate but offers stronger multi-tenancy and isolation. VictoriaMetrics stores data on local disks, while Mimir relies on object storage like S3 or GCS. Mimir is licensed under AGPLv3, which is more restrictive than VictoriaMetrics' Apache 2.0 license.

How does Mimir compare to Thanos for Prometheus metrics storage?

Both use object storage, but Thanos allows keeping Prometheus as the ingester, while Mimir forces its own ingesters. Mimir offers tighter integration with Grafana and is backed by Grafana Labs, whereas Thanos provides more flexibility in ingester choice.

What are the operational challenges of running Mimir in production?

Mimir requires configuring and maintaining a multi-component cluster including ingesters, distributors, queriers, and compactors. This operational complexity makes it unsuitable for small teams or simple use cases. Running it at scale demands significant infrastructure and expertise.

What is the licensing model for Grafana Mimir?

Mimir is released under the AGPLv3 license, which is a copyleft license more restrictive than permissive licenses like Apache 2.0. Organizations with strict policies around copyleft licensing may need to consider this before adopting Mimir. A managed cloud version is also available.

Alternatives

How Mimir compares

Direct head-to-head against 2 competitors. Picked by 7wData.

This tool

Mimir

Pricing
Free open-source version available under AGPLv3 license. Managed cloud version available as Grafana Cloud Metrics with usage-based pricing (no public fixed tiers listed).
Target
Grafana Mimir is an open-source, horizontally scalable, multi-tenant time series database (TSDB) designed for long-term storage of Prometheus and OpenTelemetry metrics.
Strength
Tested to handle 1 billion active series, making it suitable for the largest enterprise monitoring environments.
Watch for
Operational complexity is high; requires configuring and maintaining a multi-component cluster, which is not suitable for small teams or simple use cases.

Frame.io

Pricing
Free tier; Team $25/user/month; Enterprise custom.
Target
Media teams needing review and approval workflows.
Deployment
Cloud SaaS.
Strength
Built-in video review and approval with frame-accurate comments.
Watch for
Limited AI metadata generation; manual tagging required.

CatDV

Pricing
Starts at $50/user/month; Enterprise custom.
Target
Post-production teams managing large media archives.
Deployment
On-premise or cloud.
Strength
Mature asset management with custom metadata schemas.
Watch for
Steep learning curve; setup can take weeks.

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Sources

Reporting on this tool draws on these publicly available sources.

  1. grafana.com
  2. grafana.com
  3. www.reddit.com
  4. www.reddit.com
  5. news.ycombinator.com
  6. medium.com