MachineMetrics vs TrendMiner Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated May 2026 8 min read

MachineMetrics

0.0 (0 reviews)

MachineMetrics is an industrial IoT platform that captures and transforms data from manufacturing equipment into actionable insights to increase your factory floor productivity and machine utilization.

Starting at --
Free Trial NO FREE TRIAL
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TrendMiner

0.0 (0 reviews)

TrendMiner is a self-service industrial analytics software providing predictive maintenance and process optimization tools for engineers to analyze, monitor, and predict manufacturing performance using time-series data.

Starting at --
Free Trial NO FREE TRIAL

Quick Comparison

Feature MachineMetrics TrendMiner
Website machinemetrics.com trendminer.com
Pricing Model Custom Custom
Starting Price Custom Pricing Custom Pricing
FREE Trial ✘ No free trial ✘ No free trial
Free Plan ✘ No free plan ✘ No free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment cloud mobile saas on-premise
Integrations ERP Systems CMMS Software Microsoft Azure AWS Slack Microsoft Teams Salesforce Power BI OSIsoft PI AspenTech IP21 Honeywell PHD Amazon Redshift Microsoft Azure Data Lake SAP Siemens SIMATIC Yokogawa Exaquantum GE Digital APM Software AG Cumulocity
Target Users mid-market enterprise mid-market enterprise
Target Industries manufacturing aerospace automotive chemicals oil-and-gas pharmaceuticals
Customer Count 0 0
Founded Year 2014 2013
Headquarters Northampton, USA Hasselt, Belgium

Overview

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MachineMetrics

MachineMetrics is an industrial data platform designed to help you take the guesswork out of your manufacturing operations. By connecting directly to your machine controls, the software automatically collects and transforms data into real-time dashboards. You can monitor your entire shop floor from any device, allowing you to identify bottlenecks, track production against goals, and respond to downtime events the moment they happen.

The platform serves small job shops to global enterprises across industries like automotive, aerospace, and medical device manufacturing. You can use the built-in tools to digitize your paper-based processes, automate production reporting, and trigger maintenance alerts based on actual machine usage rather than simple calendars. This direct connection to your equipment ensures you are making decisions based on hard facts rather than manual entry or intuition.

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TrendMiner

TrendMiner gives you the power to analyze, monitor, and predict industrial process performance without needing a data science degree. You can plug it directly into your existing data historians to uncover patterns, troubleshoot quality issues, and identify the root causes of production deviations in minutes rather than days.

By using a high-performance search engine and pattern recognition, you can compare current sensor data against historical 'golden runs' to ensure your operations stay on track. It is designed specifically for process engineers in the chemical, oil and gas, and pharmaceutical industries who need to turn massive amounts of time-series data into actionable insights to improve overall equipment effectiveness.

Overview

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MachineMetrics Features

  • Automated Data Collection Connect your CNC machines and equipment directly to capture high-fidelity data without requiring manual input from your operators.
  • Real-Time Dashboards View live production status and machine utilization across your entire plant on any web-enabled device or floor-mounted tablet.
  • Operator Interface Give your operators a simple touch-screen interface to categorize downtime reasons and view real-time progress against production targets.
  • Predictive Maintenance Monitor machine health and tool wear in real-time to predict failures before they happen and reduce your unplanned downtime.
  • Production Reporting Generate automated reports on OEE, cycle times, and scrap rates to identify your most profitable jobs and underperforming assets.
  • Workflow Triggering Set up automated alerts via text or email to notify the right team members when a machine goes down or requires attention.
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TrendMiner Features

  • TrendHub Analysis. Search through years of historical process data instantly to find specific events or patterns using a Google-like search interface.
  • ContextHub Documentation. Add context to your sensor data by capturing digital logs and shift notes to explain why process changes occurred.
  • DashHub Monitoring. Create personalized operational dashboards to monitor your most critical process parameters and key performance indicators in one view.
  • Predictive Alerts. Set up automated monitors that notify you the moment your process deviates from established optimal operating windows.
  • Pattern Recognition. Identify recurring process behaviors automatically to predict future outcomes and prevent potential equipment failures before they happen.
  • Cross-Asset Comparison. Compare the performance of similar assets across different production lines or global sites to standardize your best practices.

Pricing Comparison

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MachineMetrics Pricing

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TrendMiner Pricing

Pros & Cons

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MachineMetrics

Pros

  • Fast implementation with plug-and-play machine connectivity
  • Highly accurate data captured directly from machine controls
  • Intuitive dashboards that are easy for operators to understand
  • Excellent customer support during the initial hardware setup
  • Significant improvements in OEE and machine utilization

Cons

  • Custom pricing can be high for very small shops
  • Requires stable internet connectivity across the factory floor
  • Advanced reporting features have a slight learning curve
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TrendMiner

Pros

  • Fast search capabilities across massive historical datasets
  • Empowers engineers to perform analytics without data scientists
  • Seamless integration with major industrial data historians
  • Intuitive interface mimics familiar web search experiences

Cons

  • Requires high-quality historical data for accurate predictions
  • Initial configuration of data connectors takes technical effort
  • Pricing is not transparent for smaller manufacturing sites
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