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TrendMiner

β˜…β˜…β˜…β˜…β˜… 4.8 Β· 8 Reviews

What is TrendMiner?

TrendMiner, a Software AG company and part of the IoT & Analytics division, delivers self-service data analytics to optimize process performance in industries such as chemical, petrochemical, oil & gas, pharmaceutical, metals & mining and other process manufacturing industries. TrendMiner software is based on a high-performance analytics engine for time-series data that allows users to question data directly, without the support of data scientists. The plug-and-play software adds immediate value upon deployment, eliminating the need for infrastructure investment and long implementation projects. Search, diagnostic and predictive capabilities enable users to speed up root cause analysis, define optimal processes and configure early warnings to monitor production. TrendMiner software also helps team members to capture feedback and leverage knowledge across teams and sites. In addition, TrendMiner offers standard integrations with a wide range of historians such as OSIsoft PI, Yokogawa Exaquantum, AspenTech IP.21, Honeywell PHD, GE Proficy Historian and Wonderware InSQL. Founded in 2008 and now part of Software AG, TrendMiner’s global headquarters is located in Belgium, and has offices in the U.S., Germany, Spain and the Netherlands.

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TrendMiner Reviews (8)

4.8
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Review Summary

Generated using AI from real user reviews

TrendMiner earns strong, consistent praise across all eight reviews for its speed and analytical capability. Users appreciate how quickly it surfaces insights from process data that would take far longer with Excel or traditional tools, and they consistently highlight responsive support with staff who understand manufacturing and actively help users get the most from the software. The intuitive interface and ease of setting up alerts and pattern searches also draw frequent mention.

The learning curve is the most common complaint, though framed as manageable rather than prohibitive. Several users note that mastering advanced features takes time, especially for complex problems, and that engagement with the support team helps accelerate the process. A few specific requests appear in isolationβ€”more flexible display of tag names, better collaboration features, higher-resolution data exports, and price concerns from one userβ€”but no theme emerges around these issues.

One reviewer flagged occasional performance slowdowns during processing, and another noted that fingerprinting (pattern-matching) is powerful but imperfect for some use cases. Cost is raised once as a barrier. These are minor notes against an otherwise unanimous endorsement of the product's core value for monitoring, trend analysis, and root-cause investigation in manufacturing and chemical processing.

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