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Read 14 KNIME reviews.
16,774 views|12,618 comparisons
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44,262 views|35,295 comparisons
Featured Review
Buyer's Guide
Data Mining
May 2022
Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: May 2022.
598,116 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"KNIME is fast and the visualization provides a lot of clarity. It clarifies your thinking because you can see what's going on with your data.""The product is open-source and therefore free to use.""It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript.""The solution is good for teaching, since there is no need to code.""It can handle an unlimited amount of data, which is the advantage of using Knime.""The most valuable feature is the data wrangling, which is what I mainly use it for.""It is very fast to develop solutions.""I was able to apply basic algorithms through just dragging and dropping."

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"There is also a chart store where we can download charts, which is extremely useful.""The Microsoft Power BI app is very good. It's also very flexible.""The user interface is easy to work with.""The solution is stable with reasonable performance.""It is more user-friendly compared to SSRS.""I think the visualization part is valuable.""I like that I can use Power BI to upload data. That is very important for me. The visualization is also convenient and easy to use.""Everything that's in M Query and DAX is the heart of Power BI because with these tools you can make up for a lot of other missing features."

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Cons
"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself.""It could input more data acquisitions from other sources and it is difficult to combine with Python.""The predefined workflows could use a bit of improvement.""Both RapidMiner and KNIME should be made easier to use in the field of deep learning.""From the point of view of the interface, they can do a little bit better.""Compared to the other data tools on the market, the user interface can be improved.""If they had a more structured training model it would be very helpful.""The documentation is lacking and it could be better."

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"Automation could be improved and performance enhanced.""The only challenge I have found is that they do not have a Mac version.""It is easy enough. I don't see any real substantial improvements that are needed. It is great as it is, but its interface could be a bit modern.""Microsoft has got a very large repository of all change suggestions which have been raised by the BI community. They keep on adding features that are very widely sought after by the community. We don't focus on product features. We focus on business requirements. To use the solution, we find that existing features are good enough and offer us a very effective solution.""There are some problems with the functionality of this solution. The dashboard is not very user friendly and is quite complicated.""The solution could improve the mobile application design. It is difficult to use compared to the desktop version.""Their technical support can be better. They normally take too long to escalate and resolve a case.""It should be more user-friendly and simple."

More Microsoft BI Cons →

Pricing and Cost Advice
  • "It's an open-source solution."
  • "The price for Knime is okay."
  • "At this time, I am using the free version of Knime."
  • "This is an open-source solution that is free to use."
  • "There is a Community Edition and paid versions available."
  • "KNIME assets are stand alone, as the solution is open source."
  • "With KNIME, you can use the desktop version free of charge as much as you like. I've yet to hit its limits. If I did, I'd have to go to the server version, and for that you have to pay. Fortunately, I don't have to at the moment."
  • "The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."
  • More KNIME Pricing and Cost Advice →

  • "We have a premium Power BI license in-house that's quite an expensive license. It's $10 a month for four users and then I think 35,000 at the premium rate."
  • "It is somewhere in the middle in terms of price. Licensing is quite clear."
  • "Its cost seems to be unreasonable if you have many users, but for a lesser number of users, it is reasonable. It is $10 per month. Clients easily accept this option, so they must think it is reasonable. It is quite cheap as compared to other tools, such as Tableau. One of the best things about this solution is that it has a trial version."
  • "Once the trial period for the BI service is over, the cost is approximately $10 USD per user, per month, so it's quite reasonable."
  • "The pricing is very reasonable compared to any other tool."
  • "Microsoft BI is not very cheap. A premium license costs roughly 5,000 euros a month."
  • "This product offers good value for the money."
  • "Microsoft BI is free for the personal edition, but there is also a paid-for professional version."
  • More Microsoft BI Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: 
    It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript.
    Top Answer: 
    The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution.
    Top Answer: 
    It's very general in terms of architecture, and as a result, it doesn't support efficient running. That is, the speed needs to be improved. The scalability needs to be improved as well.
    Top Answer: 
    There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows:  1) If you have legacies of SAP, Oracle  - look for SAP… more »
    Top Answer: 
    Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are fully customizable and very user-friendly. This solution is very stable. Oracle… more »
    Top Answer: 
    The most valuable features in Microsoft BI are the analysis using the feature drag and drop function. It's very easy to load and use different data sources.
    Ranking
    1st
    out of 16 in Data Mining
    Views
    16,774
    Comparisons
    12,618
    Reviews
    14
    Average Words per Review
    420
    Rating
    8.3
    Views
    44,262
    Comparisons
    35,295
    Reviews
    183
    Average Words per Review
    534
    Rating
    8.1
    Comparisons
    Also Known As
    KNIME Analytics Platform
    SSRS, SSAS, MSBI, MS Reporting Services, Power BI, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
    Learn More
    Overview

    KNIME is an open-source analytics software used for creating data science that is built on a GUI based workflow, eliminating the need to know code. The solution has an inherent modular workflow approach that documents and stores the analysis process in the same order it was conceived and implemented, while ensuring that intermediate results are always available. KNIME supports Windows, Linux, and Mac operating systems and is suitable for enterprises of all different sizes. With KNIME, you can perform functions ranging from basic I/O to data manipulations, transformations and data mining. It consolidates all the functions of the entire process into a single workflow. The solution covers all main data wrangling and machine learning techniques, and is based on visual programming.

    KNIME Features

    KNIME has many valuable key features. Some of the most useful ones include:

    • Scalability through data handling (intelligent automatic caching of data in the background while maximizing throughput performance)
    • High extensibility via a well-defined API for plugin extensions
    • Intuitive user interface
    • Import/export of workflows
    • Parallel execution on multi-core systems
    • Command line version for "headless" batch executions
    • Activity dashboard
    • Reporting & statistics
    • Third-party integrations
    • Workflow management
    • Local automation
    • Metanode linking
    • Tool blending
    • Big Data extensions

    KNIME Benefits

    There are many benefits to implementing KNIME. Some of the biggest advantages the solution offers include:

    • Integrated Deployment: KNIME’s integrated deployment moves both the selected model, and the entire data model preparation process into production simply and automatically, allowing for continuous optimization in production and also saving time because it eliminates error.
    • Elastic and Hybrid Execution: KNIME’s elastic and hybrid executions helps you reduce costs while covering periods of high demand, dynamically.
    • Metadata Mapping: KNIME enables complete metadata mapping of all aspects of your workflow. In addition, KNIME offers blueprint workflows for documenting the nodes, data sources, and libraries used, as well as runtime information.
    • Guided Analytics: KNIME’s guided analytics applications can be customized based on reusable components.
    • Powerful analytics, local automation, and workflow difference: KNIME uses advanced predictive and machine learning algorithms to provide you with the analytics you need. In combination with powerful analytics, KNIME’s automation capabilities and workflow difference prepare your organization with the tools you need to make better business decisions.
    • Supports enterprise-wide data science practices: The deployment and management functionalities of KNIME make it easy to productionize data science applications and services, and deliver usable, reliable, and reproducible insights for the business.
    • Helps you leverage insights gained from your data: Using KNIME ensures the data science process immediately reflects changing requirements or new insights.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the KNIME solution.

    An Emeritus Professor at a university says, “It can read many different file formats. It can very easily tidy up your data, deleting blank rows, and deleting rows where certain columns are missing. It allows you to make lots of changes internally, which you do using JavaScript to put in the conditional. It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured.”

    Benedikt S., CEO at SMH - Schwaiger Management Holding GmbH, explains, “All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function. Technical support has been extremely responsive so far. The solution has a very strong and supportive community that shares information and helps each other troubleshoot. The solution is very stable. The initial setup is pretty simple and straightforward.”

    Piotr Ś., Test Engineer at ProData Consult, says, “What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.”

    Microsoft BI is a business intelligence solution that turns data into insightful and useful business information that is relevant to all levels of the business.

    Microsoft BI combines familiar Microsoft tools - Office, SharePoint, and SQL server, with extra features for end-users, such as Power View and Power Pivot. This powerful product gives businesses a competitive advantage by allowing end-users to better analyze their data, collaborate and better present their data.

    Offer
    Learn more about KNIME
    Learn more about Microsoft BI
    Sample Customers
    Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
    Konica Minolta, Klout, Mahindra Satyam, The Weather Channel, Argus, Credit Suisse, NCR, and Sysmex.
    Top Industries
    REVIEWERS
    University29%
    Retailer18%
    Comms Service Provider12%
    Government12%
    VISITORS READING REVIEWS
    Comms Service Provider23%
    Computer Software Company17%
    Manufacturing Company9%
    Financial Services Firm8%
    REVIEWERS
    Financial Services Firm15%
    Manufacturing Company13%
    Computer Software Company11%
    Government10%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Comms Service Provider19%
    Financial Services Firm8%
    Government6%
    Company Size
    REVIEWERS
    Small Business32%
    Midsize Enterprise29%
    Large Enterprise38%
    REVIEWERS
    Small Business38%
    Midsize Enterprise16%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise21%
    Large Enterprise61%
    Buyer's Guide
    Data Mining
    May 2022
    Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: May 2022.
    598,116 professionals have used our research since 2012.

    KNIME is ranked 1st in Data Mining with 14 reviews while Microsoft BI is ranked 1st in Business Intelligence (BI) Tools with 188 reviews. KNIME is rated 8.2, while Microsoft BI is rated 8.0. The top reviewer of KNIME writes "Allows you to easily tidy up your data, make lots of changes internally, and has good machine learning". On the other hand, the top reviewer of Microsoft BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". KNIME is most compared with Alteryx, RapidMiner, Weka, Microsoft Azure Machine Learning Studio and Databricks, whereas Microsoft BI is most compared with Tableau, Amazon QuickSight, MicroStrategy, Oracle OBIEE and SAP Analytics Cloud.

    We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.