ThingsBoard vs TrendMiner

ThingsBoard8.9Visit TrendMiner8.7Visit

Higher score ThingsBoard #4 in IoT Analytics Software 8.9/10 Free plan Free plan✓ 3 of 4 features Visit ThingsBoard

vs

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

• ThingsBoard fits best

  Broad IoT monitoring and analytics deployments

• TrendMiner fits best

  Process manufacturers analyzing historian data

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Side by side

Feature	ThingsBoard 8.9/10 Visit ↗	TrendMiner 8.7/10 Visit ↗
At a glance
Editor score	8.9	8.7
Ranking	#4 in IoT Analytics Software	#6 in IoT Analytics Software
Best for	Broad IoT monitoring and analytics deployments	Process manufacturers analyzing historian data
Pricing model	Free plan + paid	Paid
Starting price	$49/mo	Pricing on request
Free plan	✓ (best)	Not checked yet
Free trial	—	—
Deployment	Cloud, Self-hosted, Mobile	Cloud, Self-hosted
Platforms	Web, Windows, macOS, Linux, iOS, Android	Web, Linux
Support	Community, Docs, Tickets	Email, Phone, Docs
Integrations	12 integrations	11 integrations
Built for	Solo, Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features ThingsBoard 3/4 · TrendMiner 3/4
Custom dashboards	✓	✓
SQL querying	Not checked yet	Not checked yet
Anomaly detection	✓	✓
Machine learning tools	✓	✓
Specs
Device limit	50 devices	Not checked yet
Data retention	60 days	Not checked yet
Stream processing	Real-time	Real-time
Our review
Pros	Supports MQTT, HTTP, CoAP, and LwM2M telemetry ingestion Combines dashboards, alarms, automation, prediction, and anomaly detection Offers cloud-hosted, self-managed, private-cloud, and open-source options	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	The Free plan is limited to 5 devices and 5 assets Advanced capacity requires moving through multiple paid tiers Broad functionality may exceed the needs of simple monitoring projects	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	ThingsBoard is an open-source IoT platform for connecting devices, collecting telemetry, processing events, managing assets, and building interactive dashboards. It is aimed at IoT developers, pilot teams, and organizations managing… 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

• ThingsBoard — where it wins

  • Supports MQTT, HTTP, CoAP, and LwM2M telemetry ingestion
  • Combines dashboards, alarms, automation, prediction, and anomaly detection
  • Offers cloud-hosted, self-managed, private-cloud, and open-source options

  Where it doesn't

  • The Free plan is limited to 5 devices and 5 assets
  • Advanced capacity requires moving through multiple paid tiers
  • Broad functionality may exceed the needs of simple monitoring projects

• 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

• ThingsBoard8.9/10 · Free plan

  A broad IoT platform covering ingestion, automation, dashboards, alarms, and advanced analytics.

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

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

  Visit TrendMinerFull verdict →