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Head-to-head · Time-Series Databases

Apache IoTDB vs GreptimeDB

  • Updated Oct 2026
  • Both researched from official sources
  • 4 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
GreptimeDB #13 in Time-Series Databases 7.7/10 Free plan Free plan✓ 3 of 3 features Visit GreptimeDB

Apache IoTDB leads on 0 checks, GreptimeDB on 0, and 4 are even. Who comes out ahead on the 4 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
  • Free planonly GreptimeDB

Apache IoTDB scores higher on our rubric for time-series databases: 9.3 against 7.7 out of 10; our editors rank them #1 and #13.

Apache IoTDB is the better fit for ioT data with SQL and many ingestion options. GreptimeDB is the better fit for observability data across metrics, logs, and traces.

  • Apache IoTDB fits best

    IoT data with SQL and many ingestion options

  • GreptimeDB fits best

    Observability data across metrics, logs, and traces

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Side by side

Feature Apache IoTDB 9.3/10 Visit ↗ GreptimeDB 7.7/10 Visit ↗
At a glance
Editor score 9.3 7.7
Ranking #1 in Time-Series Databases #13 in Time-Series Databases
Best for IoT data with SQL and many ingestion options Observability data across metrics, logs, and traces
Pricing model Free Free plan + paid
Starting price Open source $290/mo
Free plan Not checked yet ✓ (best)
Free trial — —
Deployment Cloud, Self-hosted, Desktop Cloud, Self-hosted
Platforms Web, Windows, Linux Web, Linux
Support Community, Docs Community, Docs · 24/7
Integrations 4 integrations 20 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Apache IoTDB 3/3 · GreptimeDB 3/3
SQL support ✓ ✓
Retention policies ✓ ✓
Horizontal scaling ✓ ✓
Specs
Deployment Both Both
Query languages IoTDB-SQL; Tree Mode SQL; Table Mode SQL SQL, PromQL, Log Query
Ingestion methods INSERT SQL; Java JDBC; Java, C++, Python, and Go native APIs; REST API; MQTT; CSV; TsFile Prometheus Remote Write, OpenTelemetry OTLP/HTTP, Loki Push API, Elasticsearch Bulk API, InfluxDB Line Protocol, MySQL, PostgreSQL, gRPC, HTTP
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
  • SQL and PromQL querying across observability data
  • Ingests OpenTelemetry, Prometheus, Loki, Elasticsearch, and InfluxDB
  • Supports retention, continuous aggregation, and distributed deployment
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
  • Log Query is listed as experimental
  • Self-managed deployment requires infrastructure ownership
  • Bring Your Own Cloud pricing is custom
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 →

GreptimeDB is an open-source, columnar database for storing and querying metrics, logs, traces, and other time-indexed data. It is aimed at teams that want one observability data layer with SQL for cross-signal analysis and PromQL for…

Read the review →
  1. Apache IoTDBTime-Series Databases 9.3Open source
  2. GreptimeDBTime-Series Databases 7.7Free plan

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
  • GreptimeDB — where it wins

    • SQL and PromQL querying across observability data
    • Ingests OpenTelemetry, Prometheus, Loki, Elasticsearch, and InfluxDB
    • Supports retention, continuous aggregation, and distributed deployment

    Where it doesn't

    • Log Query is listed as experimental
    • Self-managed deployment requires infrastructure ownership
    • Bring Your Own Cloud pricing is custom

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update