KNIME
Claim this toolOpen-source data analytics and machine learning platform for visual workflow creation.
Visit WebsiteReviews onG2Capterra
330 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Free and open-source desktop version for personal use
Biggest con
Advanced collaboration and enterprise features require paid subscriptions
TL;DR - KNIME
- Build visual workflows for data processing, analysis, and machine learning.
- Connects to over 300 data sources and handles diverse data types.
- Offers free desktop platform with paid options for collaboration, automation, and enterprise governance.
Pricing: Free plan available
Best for: Growing teams
4.5/5 across review platforms
What is KNIME?
KNIME Analytics Platform is an open-source data science platform that enables users to build and execute visual workflows for data processing, analysis, and machine learning. It supports connecting to over 300 data sources and services, processing various data types including numerical, categorical, text, images, time-series, and even molecule or network data. Users can perform analytics ranging from simple statistics to advanced machine learning and Generative AI, and integrate visual workflows with code.
KNIME is designed for a wide range of users, from individual data scientists and citizen data scientists to large enterprises. It helps organizations reduce supply chain disruptions, improve production quality, and boost profitability by providing better insights into manufacturing processes. The platform is known for its ease of learning and adoption, making it suitable for training programs aimed at upskilling employees in data analytics.
Available on: Web, Windows, macOS, Linux
Pros & Cons
Pros
- Free and open-source desktop version for personal use
- Easy to learn and adopt, suitable for citizen data scientist training
- Highly flexible and intuitive for prototyping and adapting to new data structures
- Supports a wide range of data types and analytical complexities
- Integrates with existing tools like Excel, JMP, Minitab, Tableau, Matlab, Python, and R
Cons
- Advanced collaboration and enterprise features require paid subscriptions
- Workflow runtime beyond included credits incurs additional costs
- Full comparison of pricing features is best viewed on a larger screen, indicating potential complexity
Ratings Across the Web
4.5(330 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
Visual workflow builder with drag-and-drop nodesConnect to 300+ data sources and servicesProcess numerical, categorical, text, image, time-series, molecule, and network dataPerform statistical analysis, machine learning, and GenAIInterleave visual workflows with code (Python, R)Automate workflows on schedulesDeploy workflows as data apps and REST servicesCollaborate in private spaces with fine-grained permissions
Pricing Plans
Free TrialPricing checked Jul 14, 2026
KNIME Analytics Platform
Free
- Connect to 300+ data sources and services
- Process & analyze data of any size or type
- Perform analytics of any complexity
- Write to files, databases or services and generate reports
- Interleave visual workflows with code
- Optionally, get access to our K-AI assistant (20 interactions / month), self-paced courses, and the KNIME forum with a free Personal account
Pro
$19 / month
- Run and automate workflows (120 credits for workflow runtime included)
- Deploy and share workflows as data apps (120 credits for workflow runtime included)
- Additional workflow runtime beyond included credits: $0.025 per vCore minute
- Store and use secrets securely
- Optionally, extend disk space (30 GB included)
- Build workflows assisted by K-AI (500 interactions / month included, $0.025 for every 5 requests after)
- Unlimited versioning
Team
$99 / month
- All from Pro, plus
- Collaborate in private spaces (3 team members included, additional at $49/month)
- Centralized billing on team level
Business Hub
Pricing available on request
- Automate running and deploy workflows — schedules, data apps and services
- Collaborate in and across teams with fine granular permissions
- Manage at enterprise level — LDAP, OAuth/OIDC etc.
- Govern the way you need — staged deployment, GenAI gateway
- Scale execution and dissemination securely — dedicated resources, secrets, SCIM etc.
- Customize extensions and code environments
- Get enterprise support in US and EU business hours or more
How KNIME's pricing compares
At $19/mo, KNIME is mid-range of its 5 direct competitors ($10 to $250/mo across the set).
Entry paid plan, monthly. Pricing checked Jul 14, 2026.
Reviews
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4.5/5
Across 330 verified user reviews on G2, Capterra
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KNIME FAQ
How does KNIME support data processing and analysis?
KNIME Analytics Platform allows users to build and execute visual workflows for data processing, analysis, and machine learning. It connects to over 300 data sources and services, handling diverse data types such as numerical, categorical, text, images, and time-series data. Users can perform analytics from basic statistics to advanced machine learning and Generative AI.
Which teams benefit most from using KNIME?
KNIME is designed for a wide range of users, from individual data scientists and citizen data scientists to large enterprises. It is particularly useful for organizations looking to reduce supply chain disruptions, improve production quality, and boost profitability through better insights into manufacturing processes. The platform's ease of learning also makes it suitable for employee upskilling in data analytics.
How is KNIME priced?
KNIME offers a free and open-source desktop version for personal use. Paid plans are available for users requiring more usage and advanced features, including enhanced collaboration and enterprise capabilities. Additional costs may apply for workflow runtime beyond included credits.
What kind of data types can KNIME process?
KNIME is capable of processing a wide array of data types, including numerical, categorical, text, images, and time-series data. It also supports specialized data like molecule and network data. This flexibility allows for diverse analytical applications within the platform.
Can KNIME integrate with other analytical tools?
Yes, KNIME integrates with a variety of existing tools and software. It supports connections with applications such as Excel, JMP, Minitab, Tableau, Matlab, Python, and R. This allows users to incorporate KNIME workflows into their current analytical ecosystems.
What are the main trade-offs when choosing KNIME?
While KNIME offers a free desktop version, advanced collaboration and enterprise features are only available through paid subscriptions. Users should also be aware that workflow runtime beyond included credits may incur additional costs. The full comparison of pricing features can be complex.
How does KNIME compare to Alteryx for visual workflow creation?
KNIME Analytics Platform is an open-source data science platform for visual workflow creation, supporting over 300 data sources and services. It is known for its ease of learning and adoption, making it suitable for citizen data scientists. Alteryx also provides visual workflow capabilities, but KNIME stands out with its free and open-source desktop version for personal use.
Source: knime.com