KNIME Analytics Platform Reviews - Pros & Cons, Ratings & more - 2025
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KNIME Analytics Platform
86%
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KNIME Analytics Platform

86%

KNIME Analytics Platform is a free, open-source tool enabling users to visually create data workflows, analyze data, and build machine learning models without coding expertise. Its intuitive low-code interface supports data preparation, analysis, and integration with popular programming languages like Python and R. Ideal for collaboration, KNIME empowers teams of all levels to develop scalable data-driven solutions efficiently. Perfect for beginners and professionals alike, it streamlines the entire data science lifecycle.

Subscribed Reviews

86% Subscribed Score

Analysis

KNIME Analytics Platform is a robust, open-source data science and machine learning tool offering seamless data integration, pre-built workflows, and compatibility with Python/R scripting for advanced customization. Ideal for data analysts, scientists, and non-developers, it enables low-code, drag-and-drop data manipulation and visualization. Its free model outperforms costly rivals like Alteryx and Tableau in cost-effectiveness, though it struggles with big data and advanced support compared to cloud-based solutions. Customer support is functional, with extensive community resources enhancing usability across businesses. Pricing includes a free-for-life version and paid options ($39,900/year for teams). A scalable and intuitive solution, KNIME excels in affordability and adaptability but requires optimization for larger datasets and advanced deployment scenarios.

Subscribed Score Metrics
31/36 Metric achieved
Ease of Use
Measures how simple and intuitive the product is to use, including setup, navigation, and overall user experience
6/6 Metric Checks
Security
Compares the product’s features, quality, and pricing to determine its overall cost-effectiveness.
5/6 Metric Checks
Value of Money
Assesses the product’s ability to protect data, prevent breaches, and comply with industry standards.
6/6 Metric Checks
Customer Support
Reflects the responsiveness, helpfulness, and quality of assistance provided by the product’s support team.
4/6 Metric Checks
Integrations
Evaluates how well the product connects with other tools and platforms, enabling seamless workflows.
5/6 Metric Checks
MetricsScore
Customer Support4/6
Security5/6
Ease of Use6/6
Value of Money6/6
Integration5/6
Popularity5/6
Radar Chart Table View
Pros & Cons
Free and open-source platform
Intuitive drag-and-drop interface
Integration with Python and R
Supports extensive data processing
Slow processing with large datasets
Limited advanced visualization features
High memory consumption
Challenging for beginners to master

Reviews of KNIME Analytics Platform from other platforms

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