What it is
Overview
KNIME addresses the challenge faced by data scientists and business analysts who need to perform complex data analytics but lack extensive programming skills or want to avoid time-consuming coding workflows. Traditional data science requires writing scripts in Python, R, or SQL, creating barriers for domain experts who understand the business context but struggle with technical implementation. The platform targets data scientists, business analysts, and citizen data scientists across industries like manufacturing, financial services, and life sciences.
At a glance
Usability & Quality overview
Best for
- Small to medium datasets
- Simple visual workflows
- Open-source enthusiasts
Watch out for
- Large datasets (>1M rows)
- Complex multi-source workflows
- Users needing fast support response
Real product, not a wrapperIndependent product
KNIME provides a unique visual drag-and-drop interface that eliminates coding requirements for data science workflows. It offers extensive integrations with Python, R, and major data sources, plus automated workflow chaining that transforms traditional analytical processes.
Strong evidenceQuality score
KNIME is a powerful open-source tool for visual data workflows that works well for simple tasks but suffers from significant performance issues with large datasets, confusing node configurations for complex workflows, and slow support response times.
Plans
Pricing
How free is free?
Genuinely free
Full desktop platform free & open source; paid tiers add automation & collaboration
What you get for free
- Full KNIME Analytics Platform for desktop use
- Build and run data science workflows locally
- Visual drag-and-drop workflow builder
- Connect to various data sources
- Build machine learning models
Behind the paywall
- Workflow automationPro
- Team collaboration featuresTeam
- Business Hub accessBusiness Hub
Community feedback
Aggregated reviews
Ratings and quoted comments below are aggregated from third-party sources and reflect those users' views, not SearchTools.ai's.
What reviewers talk about
themes inside the Sentiment pillar — not score ingredients
72Output Quality28 mentions
“KNIME - the only Data Analytics Platform you need - and it's free! | KNIME is great for simple to complex data transformations. I would recommend it if these types of data transformations are needed. Though if there is very simple data transformation that could be completed with ”
“KNIME Analytics Platform User Review | Well-suited: 1. Machine learning tasks such as credit score and marketing response models 2. Integration with Python, R, and H2O offers great flexibility for users of different backgrounds to collaborate. 3. Share workstreams. <br><br>Less A”
“An incredibly comprehensive and powerful data analytics platform that is somehow free | KNIME Analytics Platform is excellent for people who are finding Excel frustrating, this can be due to errors creeping in due to manual changes or simply that there are too many calculations w”
“The Swiss army knife for data jobs | KNIME Analytics Platform Analytics is always the right tool for repetitive manual work (copy-paste data, use Excel formulas to transform data, export data, and create charts and reports). Creating a KNIME Analytics Platform Flow does not just ”
72Ease of Use24 mentions
“The Swiss army knife for data jobs | KNIME Analytics Platform Analytics is always the right tool for repetitive manual work (copy-paste data, use Excel formulas to transform data, export data, and create charts and reports). Creating a KNIME Analytics Platform Flow does not just ”
“KNIME: Great value, great compatibility | KNIME is well suited for the data analyst that has multiple disparate data sources and needs to unify them, with a price point that is lower than some other enterprise packages. It's less well suited for smaller data pipelines or pipeline”
“Empowering People | KNIME Analytics Platform is a great productivity enhancing tool for any knowledge worker who wants to replace spreadsheets and VLOOKUPs in managing and blending data with systematic, repeatable procedures. KNIME Analytics Platform enables team managers and oth”
“Value for money! | When you have data in tabular form and it needs to be analyzed, KNIME Analytics Platform is a best fit. If fact many times, my team goes to KNIME Analytics Platform to read the data from table rather than going to a DB tool such as SQL Developer because it is e”
Watch & learn
Video content
YouTube
YOUTUBE3.2K viewsBuilding AI Agents with KNIME – A Practical Walkthrough with KNIME Experts
KNIMETV1 year ago
Capabilities
Key features
No-Code & Low-Code
Builds apps and workflows visually with little or no programming required
Analytics Assistant
Interprets data, surfaces trends, and answers questions about your business metrics
Workflow Management
Automates multi-step processes and routes tasks across your tools and team
Large Language Models (LLMs)
General-purpose models that understand and generate text across many tasks
The honest take
What users love & flag
Distinct themes surfaced across 139 reviews from 3 sources — each grounded in real review text, ranked by how often it comes up.
Questions
Frequently asked
What is KNIME?
KNIME is a visual data science platform that allows users to create analytics workflows by dragging and dropping nodes instead of writing code. It connects to over 300 data sources and enables users to build machine learning models, perform data analysis, and deploy analytics applications without extensive programming skills.
Is KNIME free to use?
Yes, KNIME Analytics Platform is free and open source for personal use with unlimited local workflow execution. Paid plans start at $19/month for the Pro version, which adds workflow automation and deployment capabilities, while Team plans begin at $99/month for up to 3 team members.
What data sources can KNIME connect to?
KNIME supports over 300 data sources including major cloud platforms like Microsoft Fabric, Amazon Redshift, Snowflake, and Google BigQuery, as well as databases like Oracle and enterprise systems like SAP. It also connects to various cloud storage services and handles multiple data types including numerical, text, image, time-series, and molecular data.
Do I need to know how to code to use KNIME?
No, KNIME is designed specifically for users without extensive programming skills through its visual drag-and-drop interface. However, advanced users can interleave custom code in Python, R, or other languages within their visual workflows when needed for specialized functionality.
What is the K-AI assistant in KNIME?
K-AI is KNIME's built-in assistant that provides guidance for building workflows and integrates generative AI capabilities into the platform. Pro plan users get 500 K-AI interactions included, while additional usage is charged separately.
Can I deploy KNIME workflows as applications?
Yes, KNIME allows you to deploy your analytics workflows as interactive data applications and REST services. This feature is available with paid plans starting from the Pro tier, enabling you to share your analytics with others or integrate them into existing systems.
What types of analytics can I perform with KNIME?
KNIME supports a wide range of analytics including ETL operations, statistical analysis, machine learning model building, and generative AI integration. It can handle various analytical tasks from basic data cleaning and preparation to advanced predictive modeling and automated workflow execution.
How does KNIME pricing work for additional usage?
All paid KNIME plans include a certain number of execution credits, with Pro offering 120 credits for runtime. When you exceed your included credits, additional usage is charged at $0.025 per vCore minute for workflow execution beyond the plan limits.
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