Head-to-head · Time Series Intelligence Software
TrendMiner vs IBM SPSS Statistics
TrendMiner leads on 1 check, IBM SPSS Statistics on 0, and 1 is 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 scoreIBM SPSS Statistics · 5.0/10
- Most featuresTrendMiner · 1 of 4
Our editors rank TrendMiner at #2 and IBM SPSS Statistics at #5 for time series intelligence software; TrendMiner has no rubric score yet (facts researched, not yet scored), so the checks below decide.
TrendMiner offers anomaly detection; IBM SPSS Statistics doesn't publish it.
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 —/10 Visit ↗ | IBM SPSS Statistics 5.0/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | — | 5.0 |
| 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 | Not published | Not published |
| Free plan | Not published | — |
| Free trial | — | — |
| 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 published |
| Change-point detection | Not published | Not published |
| Model monitoring | Not published | Not published |
| Forecast intervals | Not published | Not published |
| Specs | ||
| Forecasting methods | Not published | Not published |
| Forecast horizon | Not published | Not published |
| Deployment | Not published | Not published |
| Our review | ||
| Pros |
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| Cons |
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| 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 → |
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
- TrendMiner—/10 · Pricing on request
Industrial teams get focused tools for exploring, contextualizing, and monitoring time series.
Visit TrendMinerFull verdict → - IBM SPSS Statistics5.0/10 · From $99/user · 14-day trial
A broad desktop statistics suite with forecasting and optional analysis modules.
Visit IBM SPSSFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026





