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Head-to-head · Time-Series Databases

Apache IoTDB vs Amazon Timestream

  • 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
Amazon Timestream #2 in Time-Series Databases 9.1/10 Paid ✓ 3 of 3 features Visit site

Apache IoTDB leads on 0 checks, Amazon Timestream 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

Apache IoTDB scores higher on our rubric for time-series databases: 9.3 against 9.1 out of 10; our editors rank them #1 and #2.

On deployment, Apache IoTDB gives you Both where Amazon Timestream offers Cloud.

Apache IoTDB is the better fit for ioT data with SQL and many ingestion options. Amazon Timestream is the better fit for managed AWS time-series deployments.

  • Apache IoTDB fits best

    IoT data with SQL and many ingestion options

  • Amazon Timestream fits best

    Managed AWS time-series deployments

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Side by side

Feature Apache IoTDB 9.3/10 Visit ↗ Amazon Timestream 9.1/10 Visit ↗
At a glance
Editor score 9.3 9.1
Ranking #1 in Time-Series Databases #2 in Time-Series Databases
Best for IoT data with SQL and many ingestion options Managed AWS time-series deployments
Pricing model Free Paid
Starting price Open source —
Free plan Not checked yet —
Free trial — —
Deployment Cloud, Self-hosted, Desktop Cloud
Platforms Web, Windows, Linux Web
Support Community, Docs Docs
Integrations 4 integrations 11 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Apache IoTDB 3/3 · Amazon Timestream 3/3
SQL support ✓ ✓
Retention policies ✓ ✓
Horizontal scaling ✓ ✓
Specs
Deployment Both Cloud
Query languages IoTDB-SQL; Tree Mode SQL; Table Mode SQL SQL, Flux, InfluxQL
Ingestion methods INSERT SQL; Java JDBC; Java, C++, Python, and Go native APIs; REST API; MQTT; CSV; TsFile AWS SDKs, AWS CLI, WriteRecords API, AWS Lambda, AWS IoT Core, Amazon Managed Service for Apache Flink, Amazon Kinesis, Amazon MSK, Telegraf
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
  • Serverless and managed InfluxDB engines support different workloads
  • SQL queries span memory and magnetic storage tiers
  • AWS APIs, Grafana, Lambda, Telegraf, and CloudFormation integrations
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
  • Cloud-only deployment limits infrastructure choice
  • Usage-based pricing varies by region, engine, and configuration
  • Timestream for LiveAnalytics has an End of Support Notice
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 →

Amazon Timestream is a fully managed AWS service for storing, ingesting, and querying time-series data. It is aimed at teams building real-time monitoring, IoT, DevOps, and analytics applications within the AWS ecosystem. The service…

Read the review →
  1. Apache IoTDBTime-Series Databases 9.3Open source
  2. Amazon TimestreamTime-Series Databases 9.1Paid

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
  • Amazon Timestream — where it wins

    • Serverless and managed InfluxDB engines support different workloads
    • SQL queries span memory and magnetic storage tiers
    • AWS APIs, Grafana, Lambda, Telegraf, and CloudFormation integrations

    Where it doesn't

    • Cloud-only deployment limits infrastructure choice
    • Usage-based pricing varies by region, engine, and configuration
    • Timestream for LiveAnalytics has an End of Support Notice

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update