Overview
Product Information on KNIME Analytics Platform
What is KNIME Analytics Platform?
KNIME Analytics Platform Pricing
KNIME Analytics Platform Product Images



Overall experience with KNIME Analytics Platform
“KNIME Deployment Transforms Data Processes and Automation Across Share Service Center”
“Highly Documented, Efficient for Machine Learning but Has Scalability Issues”
About Company
Company Description
KNIME helps individuals and organizations make sense of their data. KNIME bridges the worlds of dashboards and advanced analytics through an intuitive interface, appropriate for anybody working with data. It empowers more business experts to be self-sufficient and more data experts to push the business to the bleeding edge of modern data science, integrating the latest AI and Machine Learning techniques. KNIME is distinct in its open approach, which ensures easy adoption and future-proof access to new technologies. Headquartered in Zurich, KNIME has offices in Austin, TX, Konstanz and Berlin.
Company Details
Do You Manage Peer Insights at KNIME?
Access Vendor Portal to update and manage your profile.
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
Reviewer Insights for: KNIME Analytics Platform
Deciding Factors: KNIME Analytics Platform Vs. Market Average
Performance of KNIME Analytics Platform Across Market Features
KNIME Analytics Platform Likes & Dislikes
The simplicity on how KNIME tool is built, providing different versions for more technical users and a more user-friendly one. The tool quickly conquered the room in our operations by demonstrating value through results and automated processes, showing the users that even analytical processes can be automated with the right tool and right development. This also supports the automation of very specific tasks that would not be automated through an RPA development, so small and big fishes can be tackled by leveraging KNIME.
KNIME offers a comprehensive suite of machine learning algorithms, including advanced techniques like neural networks, and integrates with popular machine learning libraries. Being a pandas master helped majorly with quick review of data/ data cleanup. KNIME's open source nature and ability to automate tasks can lead to cost savings compared to proprietary software solutions.
Features that i likes: * Easy drag and drop suite, with multiples function but with the same way to work draging what you need dropping wherever you want. * Easy workflow to analysis basic information but with a lot of insights with visuals. * A lot of tool to analysis data to improve your process managing of massive group of data.
Sometimes the initial perception is that KNIME is a very complex tool (even though this is not fully true), it can happen if change management actions are not in place and the organization where it is being deployed is heavily excel based.
KNIME does not support any multi-threading within a node, so if you work with bigger datasets it's quite slow. While the KNIME community is active and helpful, sometimes the support isn't as comprehensive or responsive as that provided by commercial vendors. There is data preparation challenges which might be easier in other tools.
Features that i don't like: * Library of extensions, in some cases it's pretty difficult to understand how to install or how to deploy new features that you install. * Some connection to data are difficult to manage and understand advanced configuration. * The new UX it's different and in some case difficult the easy way to start working, in some case you have to click a lot of things to find out if you are new using recently versions.
Top KNIME Analytics Platform Alternatives
Peer Discussions
KNIME Analytics Platform Reviews and Ratings
- GLOBAL ACCOUNTING & TREASURY SERVICES LE10B+ USDConsumer GoodsReview Source
KNIME Deployment Transforms Data Processes and Automation Across Share Service Center
As the Project Owner of KNIME deployment in my current organization, I can share that since the initial exploration until the deployment across our Share Service Center organization it was very successful. Initial aim was to automate our current processes related to data preparation, data manipulation and reporting. This makes a total difference between working mostly on Excel spreadsheets and transforming the process into more analytical and automated by using KNIME. We had support on KNIME partners to provide training and capability building, until the moment we became auto-sufficient. Very well support from KNIME company itself to ease the implementation. Today we achieved more than 300 users deploying with KNIME and delivering efficiency. - DATA ANALYTICS MANAGER50M-1B USDRetailReview Source
Data Management Streamlined in KNIME Yet Advanced Features Remain Difficult to Deploy
The experience using KNIME it's powerfull, because KNIME is a drag and drop tool that improve your time to market analysis, improve your insight and your workflow using data. Every part of KNIME it's easy to use when you found what you are looking for. - DIRECTOR OF DATA AND ANALYTICS1B-10B USDMiscellaneousReview Source
Knime Simplifies Analytics Automation While Falling Short on Visualization Options
Knime is a great tool for data science workbench. It allows setting up of workflow for data analytics and data science automation. - DIRECTOR OF IT INTERNAL AUDIT1B-10B USDBankingReview Source
Audits digital journey
knime has been a great tool for me and my team to grow our analytical footprint within internal audit. - DATA ANALYST<50M USDIT ServicesReview Source
Highly Documented, Efficient for Machine Learning but Has Scalability Issues
KNIME is really good for its use case and has great documentation. It is a domain specific tool with some really great prepacked nodes. Its well-defined API has allowed for easy extensions with custom facilities and plugins.



