Apache IoTDB vs TrendMiner

Apache IoTDB9.3Visit TrendMiner8.7Visit

Higher score Apache IoTDB #1 in IoT Analytics Software 9.3/10 Open source ✓ 0 of 4 features Visit Apache IoTDB

vs

TrendMiner #6 in IoT Analytics Software 8.7/10 Pricing on request ✓ 3 of 4 features Visit TrendMiner

• Apache IoTDB fits best

  Open-source IoT time-series analytics teams

• TrendMiner fits best

  Process manufacturers analyzing historian data

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Side by side

Feature	Apache IoTDB 9.3/10 Visit ↗	TrendMiner 8.7/10 Visit ↗
At a glance
Editor score	9.3	8.7
Ranking	#1 in IoT Analytics Software	#6 in IoT Analytics Software
Best for	Open-source IoT time-series analytics teams	Process manufacturers analyzing historian data
Pricing model	Free	Paid
Starting price	Open source	Pricing on request
Free plan	Not checked yet	Not checked yet
Free trial	—	—
Deployment	Cloud, Self-hosted, Desktop	Cloud, Self-hosted
Platforms	Web, Windows, Linux	Web, Linux
Support	Community, Docs	Email, Phone, Docs
Integrations	4 integrations	11 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features Apache IoTDB 0/4 · TrendMiner 3/4
Custom dashboards	Not checked yet	✓ (best)
SQL querying	Not checked yet	Not checked yet
Anomaly detection	Not checked yet	✓ (best)
Machine learning tools	Not checked yet	✓ (best)
Specs
Device limit	Not checked yet	Not checked yet
Data retention	Not checked yet	Not checked yet
Stream processing	Not checked yet	Real-time
Our review
Pros	SQL querying with tree and table data models High-throughput ingestion with APIs, MQTT, REST, CSV, and TsFile Retention controls, clustering, and broad analytics integrations	Deep time-series exploration with patterns, correlations, formulas, and fingerprints Broad historian, cloud, database, and enterprise integration options Covers monitoring, anomaly detection, predictive analytics, and model deployment
Cons	Requires self-managed deployment and operational ownership Its IoT-native focus may exceed simpler analytics needs Advanced use may require familiarity with IoTDB SQL dialects	Pricing requires a sales conversation rather than self-service plan selection Its industrial process focus may not suit general-purpose analytics teams Deployment options can require decisions across SaaS, private cloud, and on-premises
Our verdict	Apache IoTDB is an open-source, IoT-native time-series database for organizations managing large volumes of device and sensor data. It is designed for industrial applications including energy, transportation, aerospace, manufacturing, and… Read the review →	TrendMiner is an industrial analytics platform for operational specialists in process manufacturing and other industrial environments. It brings together time-series, event, asset, and contextual data from historians, IoT platforms,… Read the review →

Strengths and trade-offs

• Apache IoTDB — where it wins

  • SQL querying with tree and table data models
  • High-throughput ingestion with APIs, MQTT, REST, CSV, and TsFile
  • Retention controls, clustering, and broad analytics integrations

  Where it doesn't

  • Requires self-managed deployment and operational ownership
  • Its IoT-native focus may exceed simpler analytics needs
  • Advanced use may require familiarity with IoTDB SQL dialects

• TrendMiner — where it wins

  • Deep time-series exploration with patterns, correlations, formulas, and fingerprints
  • Broad historian, cloud, database, and enterprise integration options
  • Covers monitoring, anomaly detection, predictive analytics, and model deployment

  Where it doesn't

  • Pricing requires a sales conversation rather than self-service plan selection
  • Its industrial process focus may not suit general-purpose analytics teams
  • Deployment options can require decisions across SaaS, private cloud, and on-premises

• Apache IoTDB9.3/10 · Open source

  A strong open-source choice for SQL-driven, high-throughput IoT analytics.

  Visit Apache IoTDBFull verdict →
• TrendMiner8.7/10 · Pricing on request

  Deep historian analysis with monitoring, anomaly detection, and machine-learning deployment.

  Visit TrendMinerFull verdict →