7.7
Spot Score

KNIME Analytics Platform Review: Is It The Right Business Intelligence Software For Your Team?
Best for SMB teams · Mid-market · Enterprise
KNIME Analytics Platform offers custom pricing plan
Overview
Pricing
Features
Buyer feedback
Alternatives
Media
Security & Compliance
Support
FAQ
Blogs
What is KNIME Analytics Platform?
KNIME Analytics Platform is an open-source software that makes it easy for developers to craft appropriate data science workflows with drag and drop features. This GUI-driven platform offers intuitive and open interface which allows developers to explore and design data analysis workflows without needing to code. Moreover, it offers users the ability to blend tools from different domains and simple text formats like PDF, CSV, etc into a single workflow. It also supports scripting in languages like R and Python as well as machine learning
Pricing
KNIME Analytics Platform offers custom pricing plan
Best For
Suited for solo users, small teams, SMBs, and enterprise
Security & Compliance
Data residency:Global
Platform
Web-based — no mobile app
Installed - Windows
Installed - Mac
KNIME Analytics Platform Software Demo
KNIME Analytics Platform was reviewed internally using user feedback, in-house testing, and market research to assess its performance, reliability, and user experience. Learn how we review products and our evaluation process.
Who should consider KNIME Analytics Platform
- Team types
- Large Enterprises, Medium Business
Why teams choose KNIME Analytics Platform
Intuitive drag-and-drop interface simplifies workflow creation.
Open-source nature allows for extensive customization.
Supports integration with diverse data sources.
Is KNIME Analytics Platform right for you?
What buyers should know before shortlisting KNIME Analytics Platform
KNIME Analytics Platform stands out for its intuitive design that allows users to create data workflows without extensive coding knowledge. Its open-source nature makes it adaptable for various data science needs.
KNIME Analytics Platform pros and cons
- KNIME Analytics Platform pros
Intuitive drag-and-drop interface simplifies workflow creation.
Open-source nature allows for extensive customization.
Supports integration with diverse data sources.
- KNIME Analytics Platform cons
Advanced features may require coding knowledge.
Performance can degrade with large datasets.
Ready to try it?
Get started with KNIME Analytics Platform
Connect with the team for a personalised demo.
Still comparing?
See how it stacks up
Compare KNIME Analytics Platform side-by-side with top Business Intelligence Software alternatives.
What is the pricing of KNIME Analytics Platform?
KNIME Analytics Platform uses custom pricing — plans are tailored to your team size and needs. Contact them for a quote.
KNIME Analytics Platform reviews and ratings
Buyer sentiment
Buyer sentiment is positive across 63 reviews, with strong overall satisfaction.
What buyers like
- User-friendly interface
- Drag-and-drop functionality
- Supports multiple data formats
Common complaints
- Limited advanced analytics features
- May require coding for complex tasks
- Performance can lag with large datasets
What users are saying
GR
Gowtham Raj B
05/10/23
"No code, easy to use and easy to innovate"
What do you like best about KNIME Software? Quick to production ML models. Easy to learn and start delivering. Great integration with powerful ...
Read more
AU
Anonymous User
04/12/23
"KNIME Analytics Platform Review"
What do you like best about KNIME Software? Knime has the drag-and-drop option, which helps me to work on complex data. It also helps me work ...
Read more
HS
Harshad S
04/02/23
"One of the best Data harmonisation Tool"
What do you like best about KNIME Software? Knime helps to harmonise the most complex data with ease. Its an Open source, supports wide range of data ...
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س
سلامه
03/28/23
"ابتكار"
What do you like best about KNIME Software? الفائدة العضيمة التي كان عليها التعاون بين البلدين في ألعالم من اجل تحقيق الاهداف الاستراتيجية التي تعمل ...
Read more
YK
Yogita K
03/28/23
"KNIME Analytics Platform Review"
What do you like best about KNIME Software? It provides a great platform for data cleaning without extra hassle, is very easy to use, and data clarity ...
Read more
MV
Mayank V
03/28/23
"Workflows for Everything!"
What do you like best about KNIME Software? The vast number of nodes available in Knime offers excellent flexibility and coverage for almost all types ...
Read more
What are the features of KNIME Analytics Platform?
Ad hoc reports are a powerful tool used in software applications to generate customized, on-demand reports. These reports provide users with…
Cleaning, converting, and modeling data to discover relevant information for business decision-making is what data analysis is all about. Da…
KNIME Analytics Platform security and data handling
Key compliance certifications and security features for IT and security teams evaluating KNIME Analytics Platform.
Certifications
Developer & data
KNIME Analytics Platform Support Options
Frequently Asked Questions About KNIME Analytics Platform
Common questions buyers ask before choosing KNIME Analytics Platform.
KNIME Analytics Platform is a Business Intelligence Software. KNIME Analytics Platform offers Data Analysis and many more functionalities.
Buyers commonly note the following limitations of KNIME Analytics Platform: Advanced features may require coding knowledge.; Performance can degrade with large datasets.; Limited support for complex analytics out of the box..
Some top alternatives to KNIME Analytics Platform includes Entrinsik Informer, Knowi, Dundas BI, SAS Business Intelligence and Databricks.
KNIME Analytics Platform offers Open-source, Quotation Based pricing models
The starting price is not disclosed by KNIME Analytics Platform. You can visit KNIME Analytics Platform pricing page to get the latest pricing.
Ready to try it?
Get started with KNIME Analytics Platform
Get connected with the team for a personalised demo.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].










