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Head-to-head · IoT Analytics Software

TrendMiner vs Seeq

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score TrendMiner #6 in IoT Analytics Software 8.7/10 Pricing on request ✓ 3 of 4 features Visit TrendMiner
Seeq #7 in IoT Analytics Software 8.6/10 Pricing on request ✓ 4 of 4 features Visit Seeq

TrendMiner leads on 0 checks, Seeq 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 scoreTrendMiner · 8.7/10
  • Most featuresSeeq · 4 of 4

TrendMiner scores higher on our rubric for iot analytics software: 8.7 against 8.6 out of 10; our editors rank them #6 and #7.

On stream processing, TrendMiner gives you Real-time where Seeq offers Near-real-time.

TrendMiner is the better fit for process manufacturers analyzing historian data. Seeq is the better fit for industrial analysts needing advanced anomaly tools.

  • TrendMiner fits best

    Process manufacturers analyzing historian data

  • Seeq fits best

    Industrial analysts needing advanced anomaly tools

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature TrendMiner 8.7/10 Visit ↗ Seeq 8.6/10 Visit ↗
At a glance
Editor score 8.7 8.6
Ranking #6 in IoT Analytics Software #7 in IoT Analytics Software
Best for Process manufacturers analyzing historian data Industrial analysts needing advanced anomaly tools
Pricing model Paid Paid
Starting price Pricing on request Pricing on request
Free plan Not checked yet Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web, Linux Web
Support Email, Phone, Docs Email, Phone, Tickets, Community, Docs
Integrations 11 integrations 6 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features TrendMiner 3/4 · Seeq 4/4
Custom dashboards ✓ ✓
SQL querying Not checked yet ✓ (best)
Anomaly detection ✓ ✓
Machine learning tools ✓ ✓
Specs
Device limit Not checked yet Not checked yet
Data retention Not checked yet Not checked yet
Stream processing Real-time Near-real-time
Our review
Pros
  • 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
  • Multiple anomaly methods, including SOM, Isolation Forest, PCA, and clustering
  • Point-and-click analytics with dashboards and auto-updating reports
  • Supports SQL, Python notebooks, APIs, and custom ONNX prediction models
Cons
  • 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
  • Contact-sales pricing makes plan comparison less direct
  • Its industrial focus may exceed the needs of general-purpose analytics teams
  • Advanced workflows depend on connected historians, databases, or cloud data platforms
Our verdict

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 →

Seeq is an industrial analytics platform for engineers, subject-matter experts, data scientists, and operations teams working with operational time-series data. It connects with industrial historians, SQL databases, cloud data platforms,…

Read the review →
  1. TrendMinerIoT Analytics Software 8.7Pricing on request
  2. SeeqIoT Analytics Software 8.6Pricing on request

Strengths and trade-offs

  • 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
  • Seeq — where it wins

    • Multiple anomaly methods, including SOM, Isolation Forest, PCA, and clustering
    • Point-and-click analytics with dashboards and auto-updating reports
    • Supports SQL, Python notebooks, APIs, and custom ONNX prediction models

    Where it doesn't

    • Contact-sales pricing makes plan comparison less direct
    • Its industrial focus may exceed the needs of general-purpose analytics teams
    • Advanced workflows depend on connected historians, databases, or cloud data platforms
  • TrendMiner8.7/10 · Pricing on request

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

    Visit TrendMinerFull verdict →
  • Seeq8.6/10 · Pricing on request

    A deep industrial analytics suite for teams that need advanced anomaly detection.

    Visit SeeqFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update