Head-to-head · IoT Analytics Software
TrendMiner vs 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
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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 |
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| Cons |
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| 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 → |
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 →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





