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TrendMiner Review — Industrial Time Series Analytics
TrendMiner enables self-service industrial analytics and forecasting for process data without coding.
5.7
/ 10
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7.5
Volvenix Verdict
AI-powered editorial review
A powerful tool for industrial process analytics with strong self-service capabilities but limited API access.
PROS
- Intuitive self-service analytics interface
- Strong pattern recognition and forecasting features
- Designed specifically for industrial time series data
CONS
- No public API for integrations
- Limited advanced customization options
Is TrendMiner Right for You?
A quick checklist to help you decide.
You need to analyze industrial sensor data without coding or data science skills
You need a public API for deep integration and automation
You want to detect anomalies and predict trends in process data quickly
Free-tier limits are a blocker for scaling across many users or data sources
Your team requires self-service analytics for operational efficiency improvements
You require advanced custom machine learning model development capabilities
Ideal for: Process engineers and operations teams in manufacturing or energy sectors needing self-service time series analytics and forecasting.
Less suited for: Data scientists or developers requiring extensive API access or customizable machine learning models should look elsewhere.
Bottom line: Ease of use for non-expert users analyzing industrial sensor data without coding.
Editorial Review
TrendMiner excels at enabling process engineers to independently analyze complex time series data through an intuitive interface. Its pattern recognition and forecasting features help reduce downtime and improve operational efficiency. However, it lacks a public API and advanced customization options, which may limit integration flexibility for some users. Best suited for industrial teams focused on process optimization rather than data scientists seeking deep model customization.
Pros & Cons
Pros
User-friendly interface tailored for process engineers
Effective anomaly detection and root cause analysis
Strong forecasting capabilities for operational planning
No coding required for complex time series analysis
Good contextualization of sensor data with process metadata
Cons
Lacks a public API for integration
major
Limited customization for advanced data science workflows
moderate
Free plan features are quite basic
minor
Workaround:
Upgrade to paid plans for full capabilities
Who Is It For & What Can It Do
Best For
Developer / Engineer
Marketer
Product Manager
Intermediate curve
AI Capabilities
Anomaly Detection
Forecasting
Pattern Recognition
Key Features
Pattern Recognition
Identifies recurring trends and anomalies in time series data
Self-Service Analytics
Enables non-experts to analyze and visualize process data
Forecasting
Predicts future trends based on historical sensor data
Root cause analysis
Helps identify causes of anomalies and process deviations
Contextual Data Integration
Combines sensor data with process metadata for insights
Best Use Cases
Industrial process monitoring and optimization
Anomaly detection in manufacturing sensor data
Predictive maintenance scheduling
Root cause analysis of process deviations
Operational efficiency improvements
Available Platforms
Integrations
AVEVA Historian
OSIsoft PI System
Inputs & Outputs
Spreadsheetinput
Apiinput
Textoutput
Spreadsheetoutput
Supported Languages
English
Security & Compliance
Compliance Standards
GDPR
Privacy · EU
Pricing Plans
Free
Best for individuals
Free
- Basic analytics
- Limited data sources
Offers a free tier with basic features and paid plans for advanced analytics and team collaboration.
Price Range
Free
$0–$0
Pricing History
New Plan
Jun 19, 2026
Free
$0.00/mo
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Frequently Asked Questions
What is this tool?
TrendMiner is a self-service analytics platform for analyzing and forecasting industrial time series data.
How much does it cost?
TrendMiner offers a free tier with basic features and paid plans for advanced analytics and team use.
Does it have a free plan?
Yes, there is a free plan available with limited features suitable for individual users.
What integrations does it support?
TrendMiner integrates with common industrial data historians and process control systems, but has no public API.
Who is it best for?
It is best suited for process engineers and operations teams needing self-service industrial analytics.
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Last verified: Jun 19, 2026
Info sourced from public data & vendor website.
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