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Head-to-head · Time Series Intelligence Software

TrendMiner vs IBM SPSS Statistics

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score TrendMiner #2 in Time Series Intelligence Software 8.6/10 Pricing on request ✓ 1 of 4 features Visit TrendMiner
IBM SPSS Statistics #5 in Time Series Intelligence Software 7.9/10 14-day trial Free trial✓ 0 of 4 features Visit IBM SPSS

TrendMiner leads on 0 checks, IBM SPSS Statistics on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreTrendMiner · 8.6/10
  • Free trialonly IBM SPSS Statistics
  • Most featuresTrendMiner · 1 of 4

TrendMiner scores higher on our rubric for time series intelligence software: 8.6 against 7.9 out of 10; our editors rank them #2 and #5.

TrendMiner is the better fit for industrial teams exploring and monitoring time series. IBM SPSS Statistics is the better fit for statisticians who need forecasting alongside analysis.

  • TrendMiner fits best

    Industrial teams exploring and monitoring time series

  • IBM SPSS Statistics fits best

    Statisticians who need forecasting alongside analysis

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Side by side

Feature TrendMiner 8.6/10 Visit ↗ IBM SPSS Statistics 7.9/10 Visit ↗
At a glance
Editor score 8.6 7.9
Ranking #2 in Time Series Intelligence Software #5 in Time Series Intelligence Software
Best for Industrial teams exploring and monitoring time series Statisticians who need forecasting alongside analysis
Pricing model Paid Paid
Starting price Pricing on request —
Free plan Not checked yet —
Free trial — 14 days
Deployment Cloud, Self-hosted Desktop
Platforms Web, Linux Windows, macOS
Support Email, Phone, Docs Community, Docs
Integrations 11 integrations 2 integrations
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features TrendMiner 1/4 · IBM SPSS Statistics 0/4
Anomaly detection ✓ (best) Not checked yet
Change-point detection Not checked yet Not checked yet
Model monitoring Not checked yet Not checked yet
Forecast intervals Not checked yet Not checked yet
Specs
Forecasting methods Not checked yet Not checked yet
Forecast horizon Not checked yet Not checked yet
Deployment Not checked yet Not checked yet
Our review
Pros
  • Search patterns, compare trends, and analyze correlations and fingerprints.
  • Connect time-series data with event, asset, and contextual data.
  • Monitor processes and apply anomaly detection and machine-learning models.
  • Combines time-series forecasting with regression and statistical testing
  • Adds decision trees and neural networks for predictive modeling
  • Supports R and Python through APIs, embedded code, and extensions
Cons
  • Pricing requires contacting sales rather than choosing a self-service plan.
  • Its focus on industrial operational data may not suit general-purpose analytics.
  • Deployment and integration options may require specialist implementation.
  • Desktop deployment limits it to Windows and macOS
  • No free plan; the published free trial lasts 14 days
  • Forecasting is one part of a broader statistical toolkit
Our verdict

TrendMiner is an industrial analytics platform for operational specialists in process manufacturing and other industrial environments. It brings time-series exploration, pattern searches, correlations, contextualization, monitoring, and…

Read the review →

IBM SPSS Statistics brings data preparation, statistical testing, regression, predictive modeling, and time-series forecasting together in desktop software. It is aimed at researchers, analysts, organizations, and professionals who need…

Read the review →
  1. TrendMinerTime Series Intelligence Software 8.6Pricing on request
  2. IBM SPSS StatisticsTime Series Intelligence Software 7.914-day trial

Strengths and trade-offs

  • TrendMiner — where it wins

    • Search patterns, compare trends, and analyze correlations and fingerprints.
    • Connect time-series data with event, asset, and contextual data.
    • Monitor processes and apply anomaly detection and machine-learning models.

    Where it doesn't

    • Pricing requires contacting sales rather than choosing a self-service plan.
    • Its focus on industrial operational data may not suit general-purpose analytics.
    • Deployment and integration options may require specialist implementation.
  • IBM SPSS Statistics — where it wins

    • Combines time-series forecasting with regression and statistical testing
    • Adds decision trees and neural networks for predictive modeling
    • Supports R and Python through APIs, embedded code, and extensions

    Where it doesn't

    • Desktop deployment limits it to Windows and macOS
    • No free plan; the published free trial lasts 14 days
    • Forecasting is one part of a broader statistical toolkit
  • TrendMiner8.6/10 · Pricing on request

    Industrial teams get focused tools for exploring, contextualizing, and monitoring time series.

    Visit TrendMinerFull verdict →
  • IBM SPSS Statistics7.9/10 · 14-day trial

    A broad desktop statistics suite with forecasting and optional analysis modules.

    Visit IBM SPSSFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update