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Head-to-head · Time-Series Databases

Apache IoTDB vs Grafana Mimir

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Apache IoTDB #1 in Time-Series Databases 9.3/10 Open source ✓ 3 of 3 features Visit Apache IoTDB
Grafana Mimir #6 in Time-Series Databases 8.7/10 Open source ✓ 2 of 3 features Visit Grafana Mimir

Apache IoTDB leads on 1 check, Grafana Mimir on 0, and 2 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreApache IoTDB · 9.3/10
  • Most featuresApache IoTDB · 3 of 3

Apache IoTDB scores higher on our rubric for time-series databases: 9.3 against 8.7 out of 10; our editors rank them #1 and #6.

On deployment, Apache IoTDB gives you Both where Grafana Mimir offers Self_hosted. Apache IoTDB offers sql support; Grafana Mimir doesn't.

Apache IoTDB is the better fit for ioT data with SQL and many ingestion options. Grafana Mimir is the better fit for large-scale Prometheus storage.

  • Apache IoTDB fits best

    IoT data with SQL and many ingestion options

  • Grafana Mimir fits best

    Large-scale Prometheus storage

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Side by side

Feature Apache IoTDB 9.3/10 Visit ↗ Grafana Mimir 8.7/10 Visit ↗
At a glance
Editor score 9.3 8.7
Ranking #1 in Time-Series Databases #6 in Time-Series Databases
Best for IoT data with SQL and many ingestion options Large-scale Prometheus storage
Pricing model Free Free
Starting price Open source Open source
Free plan Not checked yet Not checked yet
Free trial — —
Deployment Cloud, Self-hosted, Desktop Self-hosted
Support Community, Docs Email, Community, Docs
Integrations 4 integrations 12 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Apache IoTDB 3/3 · Grafana Mimir 2/3
SQL support ✓ (best) —
Retention policies ✓ ✓
Horizontal scaling ✓ ✓
Specs
Deployment Both Self_hosted
Query languages IoTDB-SQL; Tree Mode SQL; Table Mode SQL PromQL
Ingestion methods INSERT SQL; Java JDBC; Java, C++, Python, and Go native APIs; REST API; MQTT; CSV; TsFile Prometheus remote write; Grafana Agent; Prometheus Agent; OpenTelemetry; Influx; Graphite; Datadog
Our review
Pros
  • High-throughput real-time and batch ingestion across multiple interfaces
  • SQL with tree and table models, filtering, aggregation, and grouping
  • TTL retention, cluster scaling, and broad analytics integrations
  • Horizontally scalable architecture with clustering and replication
  • Multi-tenancy, tenant isolation, and configurable retention
  • Object-store support plus recording and alerting rules
Cons
  • Self-managed deployment places operations and maintenance on the organization
  • Uses IoTDB SQL dialects rather than a single conventional SQL model
  • Its broad ingestion and integration surface may exceed smaller IoT projects
  • Self-hosted deployment requires operational ownership
  • PromQL is the documented query language, not SQL
  • Focused on Prometheus and OpenTelemetry metrics rather than general SQL workloads
Our verdict

Apache IoTDB is an open-source, IoT-native time-series database for organizations managing large volumes of device and sensor data. It suits industrial use cases across energy, transportation, aerospace, manufacturing, and general IoT…

Read the review →

Grafana Mimir is an open-source time-series database for organizations operating large-scale metrics platforms. It provides long-term storage for Prometheus and OpenTelemetry metrics, with Prometheus-compatible remote write ingestion,…

Read the review →
  1. Apache IoTDBTime-Series Databases 9.3Open source
  2. Grafana MimirTime-Series Databases 8.7Open source

Strengths and trade-offs

  • Apache IoTDB — where it wins

    • High-throughput real-time and batch ingestion across multiple interfaces
    • SQL with tree and table models, filtering, aggregation, and grouping
    • TTL retention, cluster scaling, and broad analytics integrations

    Where it doesn't

    • Self-managed deployment places operations and maintenance on the organization
    • Uses IoTDB SQL dialects rather than a single conventional SQL model
    • Its broad ingestion and integration surface may exceed smaller IoT projects

  • Grafana Mimir — where it wins

    • Horizontally scalable architecture with clustering and replication
    • Multi-tenancy, tenant isolation, and configurable retention
    • Object-store support plus recording and alerting rules

    Where it doesn't

    • Self-hosted deployment requires operational ownership
    • PromQL is the documented query language, not SQL
    • Focused on Prometheus and OpenTelemetry metrics rather than general SQL workloads

More comparisons

All Time-Series databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update