SIDE-BY-SIDE COMPARISON

CompareSeeq AnalyticsvsTrendMiner

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

Seeq Analytics may fit better if...

  • Calculation Engine
  • Operational Dashboards
  • Engineer Collaboration

TrendMiner may fit better if...

  • Pattern Search
  • Root Cause
  • Asset Dashboards

Overview

How each tool is described

Seeq Analytics

Seeq Analytics is a Self service analytics for process data.

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 using historian data.
  • Check first: connectors, data ownership, plant readiness, dashboards, and security requirements.

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

View full Seeq Analytics profile

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

Side-by-side

Key differences

Criteria
Industrial AI AnalyticsSeeq Analytics
Industrial AI AnalyticsTrendMiner
Best for
Industrial AI Analytics
Industrial AI Analytics
Score
8.7/10
8.5/10
Pricing
Contact sales
Contact sales
Category / audience
AI Maintenance, CMMS & Asset Reliability Software › Industrial AI Analytics
  • seeq
  • process analytics
  • time series analytics
+2 more
AI Maintenance, CMMS & Asset Reliability Software › Industrial AI Analytics
  • industrial analytics
  • process analytics
  • trendminer
+2 more

OVERLAP

Where Seeq Analytics and TrendMiner are similar

Both tools cover similar catalog signals. The deciding factor is usually workflow fit, implementation needs, and ecosystem fit.

1 capabilities1 workflows

Shared capabilities

Capability overlap

  • Historian ConnectorsConnects to PI and other industrial historians

Shared workflows

Workflow overlap

  • Standardize process analytics across plant teamsUse consistent analyses across many plants and engineers

Feature check

Side-by-side feature check

Feature
Seeq Analytics
TrendMiner
Time Series SearchFinds patterns across historian data quickly
-
Calculation EngineBuilds engineered signals on top of data
-
Operational DashboardsOperational views and asset performance reports
-
Engineer CollaborationShared analyses across reliability and process teams
-
Cloud DeploymentRuns in major cloud providers globally
-
Pattern SearchFinds similar operating periods across history
-
11 capabilities compared.10 differentiating rows are shown first.

Use cases

Who they're built for

Seeq Analytics

  • Investigate process plant events and anomaliesSearch historian data to understand specific abnormal events
  • Build asset performance dashboards for engineersCreate live views of critical process equipment behavior
  • Support reliability engineering analysis and decisionsHelp reliability teams analyze recurring failures and patterns
View full Seeq Analytics profile

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

The trade-offs

Pros & cons of each tool

Trade-offs

Seeq Analytics

Pros
  • Powerful time series analytics for process engineers
  • Connects to many industrial historians and sources
  • Encourages collaboration across reliability and process teams
Cons
  • Needs strong historian data and engineering capacity
  • Less suited for plants without process data history
  • Pricing scales with users and connected sources
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

Final verdict

Best fit depends on your workflow

Catalog verdict · low confidence

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

Shared catalog overlap

Seeq Analytics and TrendMiner share 2 catalog signals, so the decision should focus on fit rather than broad capability alone.

Differentiators available

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

Score signal

Seeq Analytics 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.