What is KNIME Analytics Platform?
KNIME offers a complete platform for end-to-end data science, from creating analytical models, to deploying them and sharing insights within the organization, through to data apps and services. The free and open source KNIME Analytics Platform allows users to easily build analyses with an intuitive, low-code/no-code interface. KNIME Business Hub enables users across different disciplines to collaborate and productionize analytical solutions created using KNIME Analytics Platform.
Company Details
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Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
86 Likeliness to Recommend
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Since last award
93 Plan to Renew
2
Since last award
80 Satisfaction of Cost Relative to Value
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Since last award
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+87 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love KNIME Analytics Platform?
Pros
- Inspires Innovation
- Efficient Service
- Helps Innovate
- Acts with Integrity
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Exploration and Visualization
Data Pre-Processing
Openness and Flexibility
Feature Engineering
Model Monitoring and Management
Explainability
Model Training
Performance and Scalability
Data Ingestion
Algorithm Diversity
Ensembling
Vendor Capability Ratings
Ease of Implementation
Breadth of Features
Business Value Created
Ease of Data Integration
Ease of Customization
Usability and Intuitiveness
Quality of Features
Availability and Quality of Training
Ease of IT Administration
Product Strategy and Rate of Improvement
Vendor Support
KNIME Analytics Platform Reviews
Shiva L.
- Role: Consultant
- Industry: Other
- Involvement: IT Leader or Manager
Submitted Oct 2024
Fantastic product
Likeliness to Recommend
What differentiates KNIME Analytics Platform from other similar products?
Cheaper than Alteryx
What is your favorite aspect of this product?
Ease of use. Availability of training courses.
What do you dislike most about this product?
Still it has to implement few nodes such as attaching an image while sending an email from a workflow.
What recommendations would you give to someone considering this product?
Still it has to implement few nodes such as attaching an image while sending an email from a workflow.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Raksha P.
- Role: Information Technology
- Industry: Other
- Involvement: IT Development, Integration, and Administration
Submitted Oct 2024
Powerful and versatile tool for data science
Likeliness to Recommend
What differentiates KNIME Analytics Platform from other similar products?
KNIME analytics Platform stands out from other similar products for to it's open-source foundation, visual workflow interface, extensive node library, integration with external tools, and strong community support. It's a versatile platform suitable for various data science and analytics tasks, offering scalability, performance, and competitive pricing.
What is your favorite aspect of this product?
KNIME Analytics Platform stands out due to its open-source nature, visual workflow, extensive node library, and integration capabilities. It's suitable for various data science tasks, offers scalability, strong community support, and competitive pricing.
What do you dislike most about this product?
While KNIME offers many advantages, potential drawbacks include a steep learning curve, limited customization, performance limitations, dependency on the node library, and community-driven support.
What recommendations would you give to someone considering this product?
I can recommend that the KNIME should focus on enhancing onboarding, expanding customization, optimizing performance, expanding the node library, improving community support, integrating with more tools, and focusing on specific use cases
Pros
- Performance Enhancing
- Efficient Service
- Saves Time
- Fair
Kowshik R.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Oct 2024
easy creation of data workflows
Likeliness to Recommend
What differentiates KNIME Analytics Platform from other similar products?
KNIME Analytics Platform is a powerful open-source tool known for its intuitive drag-and-drop interface, allowing users to build complex data workflows without coding expertise. It offers extensive integration with other tools, languages like Python and R, and databases, making it highly flexible. With strong community support and a wide array of extensions, KNIME is scalable for both small projects and enterprise-level applications, catering to users from beginners to advanced data scientists
What is your favorite aspect of this product?
My favorite aspect of KNIME is its versatile drag-and-drop interface combined with the open-source nature. This allows users to easily build complex workflows without coding, while still offering the flexibility to integrate custom code when needed. It strikes a perfect balance between accessibility for beginners and powerful functionality for advanced users. Plus, being open-source means it’s highly customizable and budget-friendly, which makes it adaptable for different projects and organizational needs.
What do you dislike most about this product?
A downside of KNIME is its performance limitations when handling large datasets or complex workflows, which can result in slower processing without optimized hardware. Additionally, its extensive node options and customization can be overwhelming for beginners, creating a steeper learning curve for those new to data analytics tools.
What recommendations would you give to someone considering this product?
Start with simple workflows to learn. Use community resources and tutorials. Optimize hardware for large datasets. Explore integrations with Python, R, etc. Take advantage of extensions for advanced analytics. Plan for scalability with KNIME Server if needed.
Pros
- Acts with Integrity
- Includes Product Enhancements
- Helps Innovate
- Continually Improving Product
