KNIME Analytics Platform vs IBM SPSS Modeler

KNIME Analytics Platform8.5Visit IBM SPSS Modeler8.1Visit

Higher score KNIME Analytics Platform #3 in Data Mining And Extraction Software 8.5/10 Free plan Free plan✓ 1 of 5 features Visit KNIME

vs

IBM SPSS Modeler #7 in Data Mining And Extraction Software 8.1/10 Paid ✓ 0 of 5 features Visit IBM

• KNIME Analytics Platform fits best

  Free visual analytics and data-mining workflows

• IBM SPSS Modeler fits best

  Enterprise predictive modeling and text analytics

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Side by side

Feature	KNIME Analytics Platform 8.5/10 Visit ↗	IBM SPSS Modeler 8.1/10 Visit ↗
At a glance
Editor score	8.5	8.1
Ranking	#3 in Data Mining And Extraction Software	#7 in Data Mining And Extraction Software
Best for	Free visual analytics and data-mining workflows	Enterprise predictive modeling and text analytics
Pricing model	Free	Paid
Starting price	Free	$529/user/mo
Free plan	✓ (best)	—
Free trial	—	—
Deployment	Desktop, Self-hosted, Cloud	Desktop, Self-hosted
Platforms	Windows, macOS, Linux	Windows, macOS
Support	Community, Docs	Docs
Integrations	300+ integrations	5 integrations
Built for	Solo, Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features KNIME Analytics Platform 1/5 · IBM SPSS Modeler 0/5
No-code workflows	Not checked yet	Not checked yet
JavaScript rendering	Not checked yet	Not checked yet
Scheduled extraction	Not checked yet	Not checked yet
API access	✓ (best)	Not checked yet
Built-in data mining	Not checked yet	Not checked yet
Specs
Extraction sources	Not checked yet	Not checked yet
Our review
Pros	Build visual workflows for data access, preparation, modeling, and charts Connect to 300+ data sources and services Use Python, R, JavaScript, and predictive analytics workflows	Build visual analysis streams with drag-and-drop data preparation. Apply decision trees, neural networks, regression, and clustering. Connect R, Python, Spark, and Hadoop workflows.
Cons	Focused on broader analytics rather than web extraction Real-time REST deployment requires KNIME Hub or Server Workflow building may suit analysts better than users seeking a turnkey extractor	Subscription starts at $529 per user per month with annual billing. Text analytics and collaboration capabilities require higher editions. Its scope centers on modeling rather than general-purpose data extraction.
Our verdict	KNIME Analytics Platform is a free, open-source desktop application for building visual workflows across data access, transformation, analysis, modeling, and visualization. It is aimed at data analysts, data scientists, business users, and… Read the review →	IBM SPSS Modeler is a visual data science and machine learning product for enterprise and data science teams working with structured data, predictive analytics, or text. Its drag-and-drop analysis streams bring data preparation, modeling,… Read the review →

Strengths and trade-offs

• KNIME Analytics Platform — where it wins

  • Build visual workflows for data access, preparation, modeling, and charts
  • Connect to 300+ data sources and services
  • Use Python, R, JavaScript, and predictive analytics workflows

  Where it doesn't

  • Focused on broader analytics rather than web extraction
  • Real-time REST deployment requires KNIME Hub or Server
  • Workflow building may suit analysts better than users seeking a turnkey extractor

• IBM SPSS Modeler — where it wins

  • Build visual analysis streams with drag-and-drop data preparation.
  • Apply decision trees, neural networks, regression, and clustering.
  • Connect R, Python, Spark, and Hadoop workflows.

  Where it doesn't

  • Subscription starts at $529 per user per month with annual billing.
  • Text analytics and collaboration capabilities require higher editions.
  • Its scope centers on modeling rather than general-purpose data extraction.

• KNIME Analytics Platform8.5/10 · Free plan

  A free visual analytics platform for data mining, forecasting, and repeatable workflows.

  Visit KNIMEFull verdict →
• IBM SPSS Modeler8.1/10 · Paid

  A visual modeling suite for teams that need predictive analytics and text mining.

  Visit IBMFull verdict →