Apache IoTDB vs LindormTSDB

Apache IoTDB9.3Visit LindormTSDB9.0Visit

Higher score Apache IoTDB #1 in Time-Series Databases 9.3/10 Open source ✓ 3 of 3 features Visit Apache IoTDB

vs

LindormTSDB #3 in Time-Series Databases 9.0/10 Paid ✓ 3 of 3 features Visit Alibaba Cloud

• Apache IoTDB fits best

  IoT data with SQL and many ingestion options

• LindormTSDB fits best

  Managed compatible metrics and time-series workloads

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Side by side

Feature	Apache IoTDB 9.3/10 Visit ↗	LindormTSDB 9.0/10 Visit ↗
At a glance
Editor score	9.3	9.0
Ranking	#1 in Time-Series Databases	#3 in Time-Series Databases
Best for	IoT data with SQL and many ingestion options	Managed compatible metrics and time-series workloads
Pricing model	Free	Paid
Starting price	Open source	—
Free plan	Not checked yet	Not checked yet
Free trial	—	—
Deployment	Cloud, Self-hosted, Desktop	Cloud
Platforms	Web, Windows, Linux	Web
Support	Community, Docs	Docs
Integrations	4 integrations	4 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features Apache IoTDB 3/3 · LindormTSDB 3/3
SQL support	✓	✓
Retention policies	✓	✓
Horizontal scaling	✓	✓
Specs
Deployment	Both	Cloud
Query languages	IoTDB-SQL; Tree Mode SQL; Table Mode SQL	SQL, PromQL, TSDB-compatible APIs and SDKs
Ingestion methods	INSERT SQL; Java JDBC; Java, C++, Python, and Go native APIs; REST API; MQTT; CSV; TsFile	SQL INSERT via JDBC, InfluxDB line protocol, OpenTSDB API, Prometheus remote write
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	Supports SQL, PromQL, InfluxDB, OpenTSDB, and Prometheus workflows Combines compression, downsampling, retention, and hot/cold tiering Includes in-database forecasting and anomaly detection through Lindorm ML
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 deployment may not suit teams requiring self-managed infrastructure Its broad interface set may add platform decisions for smaller workloads Billing varies by region and configuration
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 →	LindormTSDB is Alibaba Cloud’s managed time-series database engine for measurement, device, IoT, telemetry, and monitoring data. It is designed for teams that need multiple ingestion and query paths rather than a single database interface.… Read the review →

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

• LindormTSDB — where it wins

  • Supports SQL, PromQL, InfluxDB, OpenTSDB, and Prometheus workflows
  • Combines compression, downsampling, retention, and hot/cold tiering
  • Includes in-database forecasting and anomaly detection through Lindorm ML

  Where it doesn't

  • Cloud deployment may not suit teams requiring self-managed infrastructure
  • Its broad interface set may add platform decisions for smaller workloads
  • Billing varies by region and configuration

• Apache IoTDB9.3/10 · Open source

  A focused open-source choice for high-volume IoT ingestion, SQL, retention, and scaling.

  Visit Apache IoTDBFull verdict →
• LindormTSDB9.0/10 · Paid

  A broad compatibility layer for teams managing scalable telemetry and metrics workloads.

  Visit Alibaba CloudFull verdict →