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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Posit

    Score10 out of 10
    N/APosit, formerly RStudio, is a modular data science platform, combining open source and commercial products.N/A

    SAP Data Intelligence

    Score7.6 out of 10
    N/ASAP Data Intelligence is presented by the vendor as a single solution to innovate with data. It provides data-driven innovation in the cloud, on premise, and through BYOL deployments. It is described by the vendor as the new evolution of the company's data orchestration and management solution running on Kubernetes, released by SAP in 2017 to deal with big data and complex data orchestration working across distributed landscapes and processing engine.N/A
    Pricing
    PositSAP Data Intelligence
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    PositSAP Data Intelligence
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeOptionalOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    PositSAP Data Intelligence
    Considered Both Products
    Posit (formerly RStudio)
    No answer on this topic
    SAP
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    44 Answers
    98%
    Would buy again
    51 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    44 Answers
    90%
    Delivers good value for the price
    36 Answers
    Happy with the feature set
    95%
    Happy with the feature set
    42 Answers
    98%
    Happy with the feature set
    52 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    28 Answers
    88%
    Lived up to sales and marketing promises
    28 Answers
    Implementation went as expected
    97%
    Implementation went as expected
    38 Answers
    86%
    Implementation went as expected
    32 Answers
    Features
    PositSAP Data Intelligence
    Platform Connectivity
    Comparison of Platform Connectivity features of Posit and SAP Data Intelligence
    Feature
    Posit
    9.3
    27 Ratings
    11% above category average
    SAP Data Intelligence
    -
    Ratings
    Connect to Multiple Data Sources8.026 Ratings00 Ratings
    Extend Existing Data Sources10.027 Ratings00 Ratings
    Automatic Data Format Detection10.026 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Posit and SAP Data Intelligence
    Feature
    Posit
    9.0
    27 Ratings
    7% above category average
    SAP Data Intelligence
    -
    Ratings
    Visualization8.027 Ratings00 Ratings
    Interactive Data Analysis10.024 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Posit and SAP Data Intelligence
    Feature
    Posit
    10.0
    26 Ratings
    20% above category average
    SAP Data Intelligence
    -
    Ratings
    Interactive Data Cleaning and Enrichment10.024 Ratings00 Ratings
    Data Transformations10.026 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Posit and SAP Data Intelligence
    Feature
    Posit
    10.0
    22 Ratings
    17% above category average
    SAP Data Intelligence
    -
    Ratings
    Multiple Model Development Languages and Tools10.022 Ratings00 Ratings
    Single platform for multiple model development10.022 Ratings00 Ratings
    Self-Service Model Delivery10.019 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Posit and SAP Data Intelligence
    Feature
    Posit
    9.9
    18 Ratings
    15% above category average
    SAP Data Intelligence
    -
    Ratings
    Flexible Model Publishing Options10.018 Ratings00 Ratings
    Security, Governance, and Cost Controls9.915 Ratings00 Ratings
    Best Alternatives
    PositSAP Data Intelligence
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    No answers on this topic
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    SAP Datasphere
    Score8.6 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    Talend Data Fabric
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    PositSAP Data Intelligence
    Likelihood to Recommend
    10.0
    (123 ratings)
    8.1
    (55 ratings)
    Likelihood to Renew
    9.7
    (17 ratings)
    8.2
    (2 ratings)
    Usability
    8.0
    (4 ratings)
    8.2
    (50 ratings)
    Availability
    9.4
    (3 ratings)
    -
    (0 ratings)
    Support Rating
    8.9
    (9 ratings)
    7.0
    (47 ratings)
    Implementation Rating
    9.3
    (4 ratings)
    -
    (0 ratings)
    Configurability
    10.0
    (1 ratings)
    8.2
    (1 ratings)
    Product Scalability
    8.2
    (3 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.1
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.1
    (1 ratings)
    User Testimonials
    PositSAP Data Intelligence
    Likelihood to Recommend
    Posit (formerly RStudio)
    In my humble opinion, if you are working on something related to Statistics, RStudio is your go-to tool. But if you are looking for something in Machine Learning, look out for Python. The beauty is that there are packages now by which you can write Python/SQL in R. Cross-platform functionality like such makes RStudio way ahead of its competition. A couple of chinks in RStudio armor are very small and can be considered as nagging just for the sake of argument. Other than completely based on programming language, I couldn't find significant drawbacks to using RStudio. It is one of the best free software available in the market at present.
    Incentivized
    Read full review
    SAP
    If you have an SAP products ecosystem in your IT landscape, it becomes a no-brainer to go ahead with an SAP Data Intelligence product for your data orchestration, data management, and advanced data analytics needs, such as data preparation for your AI/ML processes. It provides a seamless integration with other SAP products.
    Incentivized
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    Pros
    Posit (formerly RStudio)
    • The support is incredibly professional and helpful, and they often go out of their way to help me when something doesn't work.
    • The one-click publishing from RStudio Connect is absolutely amazing, and I really like the way that it deploys your exact package versions, because otherwise, you can get in a terrible mess.
    • Python doesn't feel quite as native as R at the moment but I have definitely deployed stuff in R and Python that works beautifully which is really nice indeed.
    Incentivized
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    SAP
    • It integrates well with our current ecosystem of SAP products, like HANA.
    • It provides end-to-end machine learning operations, with tools for the complete model life cycle.
    • It has a simple user interface for novice users, with complex tools also available for power users.
    • It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
    • It can run in the cloud, no on-premise software management needed.
    • Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
    • SAP is very actively developing and improving it.
    Incentivized
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    Cons
    Posit (formerly RStudio)
    • Python integration is newer and still can be rough, especially with when using virtual environments.
    • RStudio Connect pricing feels very department focused, not quite an enterprise perspective.
    • Some of the RStudio packages don't follow conventional development guidelines (API breaking changes with minor version numbers) which can make supporting larger projects over longer timeframes difficult.
    Incentivized
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    SAP
    • Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization.
    Incentivized
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    Likelihood to Renew
    Posit (formerly RStudio)
    There is no viable alternative right now. The toolset is good and the functionality is increasing with every release. It is backed by regular releases and ongoing development by the RStudio team. There is good engagement with RStudio directly when support is required. Also there's a strong and growing community of developers who provide additional support and sample code.
    Incentivized
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    SAP
    Allow collaborations among various personas
    with insights as ratings and comments on the
    datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence
    Incentivized
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    Usability
    Posit (formerly RStudio)
    For someone who learns how to use the software and picks up on the "language" of R, it's very easy to use. For beginners, it can be hard and might require a course, as well as the appropriate statistical training to understand what packages to use and when
    Incentivized
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    SAP
    I think the troubleshooting process might be streamlined with improved error recording and tracing. A lot of information about issues and how to fix them is hidden away in the Kubernetes pods themselves. I'm not sure whether SAP Data Intelligence can fix this problem it may be connected to Kubernetes's design, in which case fixing it could need modifications inside Kubernetes itself.
    Incentivized
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    Reliability and Availability
    Posit (formerly RStudio)
    RStudio is very available and cheap to use. It needs to be updated every once in a while, but the updates tend to be quick and they do not hinder my ability to make progress. I have not experienced any RStudio outages, and I have used the application quite a bit for a variety of statistical analyses
    Incentivized
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    SAP
    No answers on this topic
    Support Rating
    Posit (formerly RStudio)
    Since R is trendy among statisticians, you can find lots of help from the data science/ stats communities. If you need help with anything related to RStudio or R, google it or search on StackOverflow, you might easily find the solution that you are looking for.
    Incentivized
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    SAP
    Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,
    Incentivized
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    Implementation Rating
    Posit (formerly RStudio)
    We did it at the individual level: anyone willing to code in R can use it. No real deployment involved.
    Read full review
    SAP
    No answers on this topic
    Alternatives Considered
    Posit (formerly RStudio)
    RStudio was provided as the most customizable. It was also strictly the most feature-rich as far as enabling our organization to script, run, and make use of R open-source packages in our data analysis workstreams. It also provided some support for python, which was useful when we had R heavy code with some python threaded in. Overall we picked Rstudio for the features it provided for our data analysis needs and the ability to interface with our existing resources.
    Incentivized
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    SAP
    One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.
    Incentivized
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    Scalability
    Posit (formerly RStudio)
    RStudio is very scalable as a product. The issue I have is that it doesn't necessarily fit in nicely with the mainly Microsoft environment that everybody else is using. Having RStudio for us means dedicated servers and recruiting staff who know how to manage the environment. This isn't a fault of the product at all, it's just part of the data science landscape that we all have to put up with. Having said that RStudio is absolutely great for running on low spec servers and there are loads of options to handle concurrency, memory use, etc.
    Incentivized
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    SAP
    No answers on this topic
    Return on Investment
    Posit (formerly RStudio)
    • Using it for data science in a very big and old company, the most positive impact, from my point of view, has been the ability of spreading data culture across the group. Shortening the path from data to value.
    • Still it's hard to quantify economic benefits, we are struggling and it's a great point of attention, since splitting out the contribution of the single aspects of a project (and getting the RStudio pie) is complicated.
    • What is sure is that, in the long run, RStudio is boosting productivity and making the process in which is embedded more efficient (cost reduction).
    Incentivized
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    SAP
    • Automation of data management slashed tasks by over 60% in most departments for the first 8 months.
    • Metadata catalogs have enabled us to categorize data from disjointed sources in one place.
    • It runs multiple ML models which enhances flexibility when managing data.
    Incentivized
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    ScreenShots

    Posit Screenshots

    Screenshot of Posit runs on most desktops or on a server and accessed over the webScreenshot of Posit supports authoring HTML, PDF, Word Documents, and slide showsScreenshot of Posit supports interactive graphics with Shiny and ggvisScreenshot of Shiny combines the computational power of R with the interactivity of the modern webScreenshot of Remote Interactive Sessions: Start R and Python processes from Posit Workbench within various systems such as Kubernetes and SLURM with Launcher.Screenshot of Jupyter: Author and edit Python code with Jupyter using the same Posit Workbench infrastructure.

    SAP Data Intelligence Screenshots

    Screenshot of Business GlossaryScreenshot of Example of data quality operatorsScreenshot of Data profiling fact sheetScreenshot of SAP Data Intelligence Jupyter lab notebook for machine learningScreenshot of SAP Data Intelligence data pipeline using PythonScreenshot of SAP Data Intelligence example ata quality dashboard