TrustRadius: an HG Insights company

Microsoft R Open / Revolution R Enterprise vs. Python IDLE

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    Python IDLE

    Score8.6 out of 10
    N/APython's IDLE is the integrated development environment (IDE) and learning platform for Python, presented as a basic and simple IDE appropriate for learners in educational settings.

    $0

    Pricing
    Microsoft R Open / Revolution R EnterprisePython IDLE
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Microsoft R Open / Revolution R EnterprisePython IDLE
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Microsoft R Open / Revolution R EnterprisePython IDLE
    Considered Both Products
    Microsoft
    No answer on this topic
    Python Software Foundation
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    83%
    Would buy again
    5 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    5 Answers
    Happy with the feature set
    No answers on this topic
    83%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    Features
    Microsoft R Open / Revolution R EnterprisePython IDLE
    Platform Connectivity
    Comparison of Platform Connectivity features of Microsoft R Open / Revolution R Enterprise and Python IDLE
    Feature
    Microsoft R Open / Revolution R Enterprise
    5.3
    3 Ratings
    45% below category average
    Python IDLE
    -
    Ratings
    Connect to Multiple Data Sources6.13 Ratings00 Ratings
    Extend Existing Data Sources6.03 Ratings00 Ratings
    Automatic Data Format Detection6.03 Ratings00 Ratings
    MDM Integration3.01 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Microsoft R Open / Revolution R Enterprise and Python IDLE
    Feature
    Microsoft R Open / Revolution R Enterprise
    7.0
    3 Ratings
    19% below category average
    Python IDLE
    -
    Ratings
    Visualization7.03 Ratings00 Ratings
    Interactive Data Analysis7.03 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Microsoft R Open / Revolution R Enterprise and Python IDLE
    Feature
    Microsoft R Open / Revolution R Enterprise
    4.8
    3 Ratings
    52% below category average
    Python IDLE
    -
    Ratings
    Interactive Data Cleaning and Enrichment5.13 Ratings00 Ratings
    Data Transformations5.03 Ratings00 Ratings
    Data Encryption3.01 Ratings00 Ratings
    Built-in Processors6.03 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Microsoft R Open / Revolution R Enterprise and Python IDLE
    Feature
    Microsoft R Open / Revolution R Enterprise
    6.0
    3 Ratings
    34% below category average
    Python IDLE
    -
    Ratings
    Multiple Model Development Languages and Tools5.03 Ratings00 Ratings
    Automated Machine Learning5.02 Ratings00 Ratings
    Single platform for multiple model development8.03 Ratings00 Ratings
    Self-Service Model Delivery6.03 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Microsoft R Open / Revolution R Enterprise and Python IDLE
    Feature
    Microsoft R Open / Revolution R Enterprise
    6.5
    2 Ratings
    27% below category average
    Python IDLE
    -
    Ratings
    Flexible Model Publishing Options6.02 Ratings00 Ratings
    Security, Governance, and Cost Controls6.92 Ratings00 Ratings
    Best Alternatives
    Microsoft R Open / Revolution R EnterprisePython IDLE
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Visual Studio
    Score8.8 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    PyCharm
    Score9.3 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    WebStorm
    Score9.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Microsoft R Open / Revolution R EnterprisePython IDLE
    Likelihood to Recommend
    6.0
    (5 ratings)
    3.7
    (7 ratings)
    Likelihood to Renew
    7.0
    (1 ratings)
    -
    (0 ratings)
    Usability
    7.0
    (1 ratings)
    8.2
    (2 ratings)
    Support Rating
    8.0
    (2 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Microsoft R Open / Revolution R EnterprisePython IDLE
    Likelihood to Recommend
    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
    Python Software Foundation
    Scenarios where python IDLE is well suited 1-Quick scripting and prototyping 2-Education and training 3-small projects utilities 4-exploring python libraries and modules Scenarios where python is less appropriate 1 large scale projects 2 complex debugging and profiling 3 multi language development 4 Advanced code analysis and inspection
    Read full review
    Pros
    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
    Python Software Foundation
    • Firstly, I would say Python IDLE interface is user friendly.
    • Easy to learn for the beginners.
    • Syntax highlighting is nice features.
    • Smart indent helps a lot.
    Incentivized
    Read full review
    Cons
    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
    Read full review
    Python Software Foundation
    • Too simplistic
    • Could not find source revision management integration support
    • Only basic debugging is available
    • Does not have data-science-specific notebooks (but can be installed separately)
    Incentivized
    Read full review
    Likelihood to Renew
    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
    Python Software Foundation
    No answers on this topic
    Usability
    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
    Python Software Foundation
    The IDE Python IDLE is a good place to start as it helps you become familiar with the way Python works and understand its syntax.
    This IDE allows you to configure the environment, font, size, colors, .....
    It also looks like any simple text editor for any operating system, I work with Windows or Linux interchangeably, and you don't have to learn to use the IDE before programming.
    Once the IDE is executed you can start programming directly in it.
    Incentivized
    Read full review
    Support Rating
    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
    Read full review
    Python Software Foundation
    Python IDLE support is what the community can give you. As it is free software, it does not have support provided by the manufacturer or by third-parties.
    In any case, for most of the problems that normal users can find, the solution, or alternatives, can be found quickly online.
    As this IDE is made in Python, the support is the same group of Python developers.
    Incentivized
    Read full review
    Alternatives Considered
    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
    Python Software Foundation
    It's easy to set up and run quick analysis in Python IDLE on my local machine. The output is direct and easy to read. But sometimes I prefer Jupyter Notebook when the datasets are large, since it would take too long to run on my local machine. It is easier to run Jupyter Notebook on my cloud desktop
    Incentivized
    Read full review
    Return on Investment
    Microsoft
    • Helped save company money versus buying other stat software
    Incentivized
    Read full review
    Python Software Foundation
    • In a short time, we were able to develop several ML models for various teams to make accurate decisions.
    • Beginners can easily understand and adapt to GUI.
    • We could automate several manual validation tasks and so could reduce human intervention.
    Incentivized
    Read full review
    ScreenShots