SIDE-BY-SIDE COMPARISON

CompareTrendMinervsArundo Analytics

Review features, pricing signals, strengths, and trade-offs before choosing.

Generated from current catalog profiles Catalog profile signals Use-case comparison

Quick decision guide

Choose based on your workflow

TrendMiner may fit better if...

  • Pattern Search
  • Root Cause
  • Asset Dashboards

Arundo Analytics may fit better if...

  • Model Deployment
  • Edge Runtime
  • Data Connectors

Overview

How each tool is described

TrendMiner

TrendMiner is a Time series search for process plants.

It helps industrial operations and analytics teams handle repeated work with a clearer process, so the tool is easier to judge even for non-technical buyers. Instead of looking only at feature lists, focus on whether it improves the everyday tasks your team already repeats: planning work, creating outputs, reviewing quality, and keeping information organized. For most teams, the right test is simple: try it with real workflows, real data, and real team expectations before treating the score as the final decision.

  • Best fit: Process engineers searching historian data daily.
  • Check first: connectors, data ownership, plant readiness, dashboards, and security requirements.

Bottom line: TrendMiner is most useful when its core strengths match the work your team repeats often.

View full TrendMiner profile

Arundo Analytics

Arundo Analytics is an Industrial AI for asset analytics.

It helps industrial operations and analytics teams handle repeated work with a clearer process, so the tool is easier to judge even for non-technical buyers. Instead of looking only at feature lists, focus on whether it improves the everyday tasks your team already repeats: planning work, creating outputs, reviewing quality, and keeping information organized. For most teams, the right test is simple: try it with real workflows, real data, and real team expectations before treating the score as the final decision.

  • Best fit: Industrial operators productizing machine learning.
  • Check first: connectors, data ownership, plant readiness, dashboards, and security requirements.

Bottom line: Arundo Analytics is most useful when its core strengths match the work your team repeats often.

View full Arundo Analytics profile

Side-by-side

Key differences

Criteria
Industrial AI AnalyticsTrendMiner
Industrial AI AnalyticsArundo Analytics
Best for
Industrial AI Analytics
Industrial AI Analytics
Score
8.5/10
7.9/10
Pricing
Contact sales
Contact sales
Category / audience
AI Maintenance, CMMS & Asset Reliability Software › Industrial AI Analytics
  • industrial analytics
  • process analytics
  • trendminer
+2 more
AI Maintenance, CMMS & Asset Reliability Software › Industrial AI Analytics
  • industrial ai
  • oil and gas
  • machine learning operations
+2 more

Feature check

Side-by-side feature check

Feature
TrendMiner
Arundo Analytics
Pattern SearchFinds similar operating periods across history
-
Root CauseCompares signals during normal and abnormal operations
-
Asset DashboardsLive views of critical process asset behavior
-
Historian ConnectorsReads PI Aspen and other historian sources
-
Self ServiceBuilt for process engineers not data scientists
-
Process ContextAdds asset context to historian time series
-
12 capabilities compared.12 differentiating rows are shown first.

Use cases

Who they're built for

TrendMiner

  • Search historian patterns quickly across yearsFind similar operating periods across long historian records
  • Investigate abnormal process behavior across plantsCompare normal and abnormal periods to find root causes
  • Build asset monitoring dashboards for engineersCreate live views of critical process equipment behavior
View full TrendMiner profile

Arundo Analytics

  • Deploy machine learning models into productionMove models from notebooks into reliable production environments
  • Run edge analytics close to assetsProcess sensor data near assets for low latency
  • Operate offshore asset analytics across fleetsApply analytics to oil rigs and shipping fleets
View full Arundo Analytics profile

The trade-offs

Pros & cons of each tool

Trade-offs

TrendMiner

Pros
  • Strong pattern search across long historian records
  • Built specifically for process engineers not data scientists
  • Strong root cause analysis on historian data
Cons
  • Best value for plants with rich historians
  • Adoption depends on engineer training and champions
  • Ownership has changed across recent years already
Trade-offs

Arundo Analytics

Pros
  • Helps move models into reliable production environments
  • Edge runtime suits distributed industrial asset deployments
  • Strong focus on real industrial use cases
Cons
  • Targeted at organizations with internal data teams
  • Less suitable as a standalone packaged product
  • Smaller market footprint than large industrial platforms

Final verdict

Best fit depends on your workflow

Catalog verdict · medium confidence

Current catalog data shows meaningful overlap between TrendMiner and Arundo Analytics. Use the signals below to decide based on workflow, ecosystem, pricing, and implementation fit.

Differentiators available

TrendMiner has 4 visible decision signals and Arundo Analytics has 4.

Score signal

TrendMiner has the higher SoftFinders Score in the current catalog data.

TRY THEM YOURSELF

See which one fits your workflow

Both tools have their strengths, the best way to decide is to spend a few minutes inside each.