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KNIME Analytics Platform vs. Microsoft R Open / Revolution R Enterprise

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    KNIME Analytics Platform

    Score7.8 out of 10
    N/AKNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.

    $0

    per month

    Microsoft R Open / Revolution R Enterprise

    Score8.9 out of 10
    N/AMicrosoft R Open and Revolution R Enterprise are big data R distribution for servers, Hadoop clusters, and data warehouses. Microsoft acquired original developer Revolution Analytics in 2016. Microsoft R is available in two editions: Microsoft R Open (formerly Revolution R Open) and Revolution R Enterprise.N/A
    Pricing
    KNIME Analytics PlatformMicrosoft R Open / Revolution R Enterprise
    Editions & Modules
    KNIME Community Hub Personal Plan
    $0
    KNIME Analytics Platform
    $0
    KNIME Community Hub Team Plan
    €99
    per month 3 users
    KNIME Business Hub
    From €35,000
    per year
    No answers on this topic
    Offerings
    Pricing Offerings
    KNIME Analytics PlatformMicrosoft R Open / Revolution R Enterprise
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    KNIME Analytics PlatformMicrosoft R Open / Revolution R Enterprise
    Considered Both Products
    KNIME
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    16 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    16 Answers
    No answers on this topic
    Happy with the feature set
    94%
    Happy with the feature set
    16 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    83%
    Lived up to sales and marketing promises
    10 Answers
    No answers on this topic
    Implementation went as expected
    93%
    Implementation went as expected
    14 Answers
    No answers on this topic
    Features
    KNIME Analytics PlatformMicrosoft R Open / Revolution R Enterprise
    Platform Connectivity
    Comparison of Platform Connectivity features of KNIME Analytics Platform and Microsoft R Open / Revolution R Enterprise
    Feature
    KNIME Analytics Platform
    9.2
    19 Ratings
    9% above category average
    Microsoft R Open / Revolution R Enterprise
    5.3
    3 Ratings
    45% below category average
    Connect to Multiple Data Sources9.619 Ratings6.13 Ratings
    Extend Existing Data Sources10.010 Ratings6.03 Ratings
    Automatic Data Format Detection9.119 Ratings6.03 Ratings
    MDM Integration7.98 Ratings3.01 Ratings
    Data Exploration
    Comparison of Data Exploration features of KNIME Analytics Platform and Microsoft R Open / Revolution R Enterprise
    Feature
    KNIME Analytics Platform
    8.1
    18 Ratings
    3% below category average
    Microsoft R Open / Revolution R Enterprise
    7.0
    3 Ratings
    18% below category average
    Visualization8.018 Ratings7.03 Ratings
    Interactive Data Analysis8.118 Ratings7.03 Ratings
    Data Preparation
    Comparison of Data Preparation features of KNIME Analytics Platform and Microsoft R Open / Revolution R Enterprise
    Feature
    KNIME Analytics Platform
    8.3
    19 Ratings
    1% above category average
    Microsoft R Open / Revolution R Enterprise
    4.8
    3 Ratings
    52% below category average
    Interactive Data Cleaning and Enrichment9.019 Ratings5.13 Ratings
    Data Transformations9.519 Ratings5.03 Ratings
    Data Encryption7.47 Ratings3.01 Ratings
    Built-in Processors7.48 Ratings6.03 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of KNIME Analytics Platform and Microsoft R Open / Revolution R Enterprise
    Feature
    KNIME Analytics Platform
    8.0
    18 Ratings
    6% below category average
    Microsoft R Open / Revolution R Enterprise
    6.0
    3 Ratings
    34% below category average
    Multiple Model Development Languages and Tools9.517 Ratings5.03 Ratings
    Automated Machine Learning8.117 Ratings5.02 Ratings
    Single platform for multiple model development9.318 Ratings8.03 Ratings
    Self-Service Model Delivery5.08 Ratings6.03 Ratings
    Model Deployment
    Comparison of Model Deployment features of KNIME Analytics Platform and Microsoft R Open / Revolution R Enterprise
    Feature
    KNIME Analytics Platform
    7.3
    11 Ratings
    16% below category average
    Microsoft R Open / Revolution R Enterprise
    6.5
    2 Ratings
    27% below category average
    Flexible Model Publishing Options8.611 Ratings6.02 Ratings
    Security, Governance, and Cost Controls5.94 Ratings6.92 Ratings
    Best Alternatives
    KNIME Analytics PlatformMicrosoft R Open / Revolution R Enterprise
    Small Businesses
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    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    Anaconda
    Score8.8 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
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    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    KNIME Analytics PlatformMicrosoft R Open / Revolution R Enterprise
    Likelihood to Recommend
    9.6
    (22 ratings)
    6.0
    (5 ratings)
    Likelihood to Renew
    9.5
    (4 ratings)
    7.0
    (1 ratings)
    Usability
    9.0
    (3 ratings)
    7.0
    (1 ratings)
    Support Rating
    9.3
    (6 ratings)
    8.0
    (2 ratings)
    Implementation Rating
    7.0
    (2 ratings)
    -
    (0 ratings)
    Ease of integration
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    KNIME Analytics PlatformMicrosoft R Open / Revolution R Enterprise
    Likelihood to Recommend
    KNIME
    KNIME Analytics Platform is excellent for people who are finding Excel frustrating, this can be due to errors creeping in due to manual changes or simply that there are too many calculations which causes the system to slow down and crash. This is especially true for regular reporting where a KNIME Analytics Platform workflow can pull in the most recent data, process it and provide the necessary output in one click. I find KNIME Analytics Platform especially useful when talking with audiences who are intimidated by code. KNIME Analytics Platform allows us to discuss exactly how data is processed and an analysis takes place at an abstracted level where non-technical users are happy to think and communicate which is often essential when they are subject matter experts whom you need for guidance. For experienced programmers KNIME Analytics Platform is a double-edged sword. Often programmers wish to write their own code because they are more efficient working that way and are constrained by having to think and implement work in nodes. However, those constraints forcing development in a "KNIME way" are useful when working in teams and for maintenance compared to some programmers' idiosyncratic styles.
    Incentivized
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    Microsoft
    If you are a MS shop specifically, or have more generic data requirement needs from Microsoft sourced data this will work well. If you have a lot of disparate data across a number of unique platforms/cloud systems/3rd party hosted data warehouses then this product will have issues or a lack of documentation on the net. Performance-wise this product is equal to other R platforms out there.
    Incentivized
    Read full review
    Pros
    KNIME
    • Summarize instrument level financial data with relevant statistics
    • Map transactions from core extracts to groups of like transactions using rule engines
    • Machine learning using random forests and other techniques to analyze data and identify correlations for use in predictive models
    • Fill out sampling data from averages.
    Read full review
    Microsoft
    • It allows distributed algorithm runs on Hadoop HDFS cluster
    • It allows using different file formats such as SAS7BAT files or complex files in tab or comma delimited making data munging easier
    • It provides scalable solutions by allowing users to re-use R scripts and distributing the computing over nodes through RHadoop
    Read full review
    Cons
    KNIME
    • It does not have proper visualization.
    • Some other BI tools (QlikView) have much easier functions for data interaction.
    • Some other BI tools (Tableau) can be set up much faster.
    • It is not an easy tool to use for non-tech savvy staff.
    Incentivized
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    Microsoft
    • Very steep learning curve... for such a quick and useful tool the learning curve is unacceptable.
    • Very dangerous in the wrong hands. Because most add-ons are pre-written, you have to trust the community that malicious script is not used.
    Incentivized
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    Likelihood to Renew
    KNIME
    We are happy with Knime product and their support. Knime AP is versatile product and even can execute Python scripts if needed. It also supports R execution as well; however, it is not being used at our end
    Read full review
    Microsoft
    In general, Revolution Analytics brings a lot of value to the organization. The renewal decision would be based on return on investment in terms of quantified actionable insights that are getting generated against the cost of the product. Additionally, market brand of the tool and reputation risk in terms of possible acquisition and its impact to overall organizational analytic strategy would be considered as well.
    Read full review
    Usability
    KNIME
    KNIME Analytics Platform offers a great tradeoff between intuitiveness and simplicity of the user interface and almost limitless flexibility. There are tools that are even easier to adopt by someone new to analytics, but none that would provide the scalability of KNIME when the user skills and application complexity grows
    Incentivized
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    Microsoft
    It is good, easy to use, improvements are being made to the product and more info being shared in the community. It just needs some more time to become more integrated to other platforms and tools/data out there.
    Incentivized
    Read full review
    Support Rating
    KNIME
    KNIME's HQ is in Europe, which makes it hard for US companies to get customer service in time and on time. Their customer service also takes on average 1 to 2 weeks to follow up with your request. KNIME's documentation is also helpful but it does not provide you all the answers you need some of the time.
    Incentivized
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    Microsoft
    Generally support comes through the forums and user generated channels which are helpful, easy to access, quickly turned around and provided by knowledgeable users. However the support channels are not employees and the channels are often used as a way to learn quick difficult elements of R. Better design, users interface and tutorial options would alleviate the need for this sort of interaction.
    Incentivized
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    Implementation Rating
    KNIME
    KNIME Analytics Platform is easy to install on any Windows, Mac or Linux machine. The KNIME Server product that is currently being replaced by the KNIME Business Hub comes as multiple layers of software and it took us some time to set up the system right for stability. This was made harder by KNIME staff's deeper expertise in setting up the Server in Linux rather than Windows environment. The KNIME Business Hub promises to have a simpler architecture, although currently there is no visibility of a Windows version of the product.
    Incentivized
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    Microsoft
    No answers on this topic
    Alternatives Considered
    KNIME
    Having used both the Alteryx and [KNIME Analytics] I can definitely feel the ease of using the software of Alteryx. The [KNIME Analytics] on the other hand isn't that great but is 90% of what Alteryx can do along with how much ease it can do. Having said that, the 90% functionality and UI at no cost would be enough for me to quit using Alteryx and move towards [KNIME Analytics].
    Incentivized
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    Microsoft
    The two are different products for different purposes. But for someone who has little or no experience in R programming, Power BI would be better for starting with. Having said that, Microsoft R is built on R, thus allowing for customization of complex calculations not typically available otherwise.
    Incentivized
    Read full review
    Return on Investment
    KNIME
    • It is suited for data mining or machine learning work but If we're looking for advanced stat methods such as mixed effects linear/logistics models, that needs to be run through an R node.
    • Thinking of our peers with an advanced visualization techniques requirement, it is a lagging product.
    Incentivized
    Read full review
    Microsoft
    • Helped save company money versus buying other stat software
    Incentivized
    Read full review
    ScreenShots

    KNIME Analytics Platform Screenshots

    Screenshot of the KNIME Modern UI. This is the the new user interface for the KNIME Analytics Platform that is available with improved look and feel as the default interface, from KNIME Analytics Platform version 5.1.0 release.Screenshot of the KNIME Analytics Platform user interface - the KNIME Workbench - displays the current, open workflow(s). Here is the general user interface layout — application tabs, side panel, workflow editor and node monitor.Screenshot of the KNIME user interface elements — workflow toolbar, node action bar, rename components and metanodes.Screenshot of the entry page, which is displayed by clicking the Home tab. From here users can; check out example workflows to get started, access a local workspace, or even start a new workflow by clicking the yellow plus button.Screenshot of the status of a KNIME node, which shows whether it's configured, not configured, executed, or has an error.Screenshot of the KNIME node action bar, which can be used to configure, execute, cancel, reset, and - when available - open the view.