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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Jupyter Notebook

    Score8.6 out of 10
    N/AJupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. It supports over 40 programming languages, and notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. It is used with JupyterLab, a web-based IDE for…N/A

    Microsoft BI (MSBI)

    Score8.5 out of 10
    N/AMicrosoft BI is a business intelligence product used for data analysis and generating reports on server-based data. It features unlimited data analysis capacity with its reporting engine, SQL Server Reporting Services alongside ETL, master data management, and data cleansing.

    $14

    per month per user

    Pricing
    Jupyter NotebookMicrosoft BI (MSBI)
    Editions & Modules
    No answers on this topic
    Power BI Pro
    $14
    per month per user
    Power BI Premium
    $24
    per month per user
    Offerings
    Pricing Offerings
    Jupyter NotebookMicrosoft BI (MSBI)
    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
    Jupyter NotebookMicrosoft BI (MSBI)
    Considered Both Products
    Open Source
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    23 Answers
    100%
    Would buy again
    15 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    100%
    Delivers good value for the price
    15 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    22 Answers
    100%
    Happy with the feature set
    15 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    17 Answers
    100%
    Lived up to sales and marketing promises
    13 Answers
    Implementation went as expected
    95%
    Implementation went as expected
    20 Answers
    100%
    Implementation went as expected
    11 Answers
    Features
    Jupyter NotebookMicrosoft BI (MSBI)
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and Microsoft BI (MSBI)
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Microsoft BI (MSBI)
    -
    Ratings
    Connect to Multiple Data Sources10.022 Ratings00 Ratings
    Extend Existing Data Sources10.021 Ratings00 Ratings
    Automatic Data Format Detection8.514 Ratings00 Ratings
    MDM Integration7.415 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Jupyter Notebook and Microsoft BI (MSBI)
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    Microsoft BI (MSBI)
    -
    Ratings
    Visualization6.022 Ratings00 Ratings
    Interactive Data Analysis8.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and Microsoft BI (MSBI)
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Microsoft BI (MSBI)
    -
    Ratings
    Interactive Data Cleaning and Enrichment10.021 Ratings00 Ratings
    Data Transformations10.022 Ratings00 Ratings
    Data Encryption8.514 Ratings00 Ratings
    Built-in Processors9.314 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Jupyter Notebook and Microsoft BI (MSBI)
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    Microsoft BI (MSBI)
    -
    Ratings
    Multiple Model Development Languages and Tools10.021 Ratings00 Ratings
    Automated Machine Learning9.218 Ratings00 Ratings
    Single platform for multiple model development10.022 Ratings00 Ratings
    Self-Service Model Delivery8.020 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Jupyter Notebook and Microsoft BI (MSBI)
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    Microsoft BI (MSBI)
    -
    Ratings
    Flexible Model Publishing Options10.020 Ratings00 Ratings
    Security, Governance, and Cost Controls10.019 Ratings00 Ratings
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Jupyter Notebook and Microsoft BI (MSBI)
    Feature
    Jupyter Notebook
    -
    Ratings
    Microsoft BI (MSBI)
    9.0
    53 Ratings
    10% above category average
    Pixel Perfect reports00 Ratings8.546 Ratings
    Customizable dashboards00 Ratings9.653 Ratings
    Report Formatting Templates00 Ratings8.951 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Jupyter Notebook and Microsoft BI (MSBI)
    Feature
    Jupyter Notebook
    -
    Ratings
    Microsoft BI (MSBI)
    8.5
    53 Ratings
    6% above category average
    Drill-down analysis00 Ratings8.548 Ratings
    Formatting capabilities00 Ratings8.253 Ratings
    Integration with R or other statistical packages00 Ratings8.342 Ratings
    Report sharing and collaboration00 Ratings8.953 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Jupyter Notebook and Microsoft BI (MSBI)
    Feature
    Jupyter Notebook
    -
    Ratings
    Microsoft BI (MSBI)
    8.5
    52 Ratings
    3% above category average
    Publish to Web00 Ratings9.348 Ratings
    Publish to PDF00 Ratings9.148 Ratings
    Report Versioning00 Ratings7.444 Ratings
    Report Delivery Scheduling00 Ratings8.547 Ratings
    Delivery to Remote Servers00 Ratings8.426 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Jupyter Notebook and Microsoft BI (MSBI)
    Feature
    Jupyter Notebook
    -
    Ratings
    Microsoft BI (MSBI)
    8.7
    52 Ratings
    9% above category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings9.651 Ratings
    Location Analytics / Geographic Visualization00 Ratings8.748 Ratings
    Predictive Analytics00 Ratings7.745 Ratings
    Pattern Recognition and Data Mining00 Ratings8.76 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Jupyter Notebook and Microsoft BI (MSBI)
    Feature
    Jupyter Notebook
    -
    Ratings
    Microsoft BI (MSBI)
    9.3
    53 Ratings
    9% above category average
    Multi-User Support (named login)00 Ratings9.449 Ratings
    Role-Based Security Model00 Ratings9.347 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.949 Ratings
    Report-Level Access Control00 Ratings9.36 Ratings
    Single Sign-On (SSO)00 Ratings9.431 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Jupyter Notebook and Microsoft BI (MSBI)
    Feature
    Jupyter Notebook
    -
    Ratings
    Microsoft BI (MSBI)
    8.0
    42 Ratings
    3% above category average
    Responsive Design for Web Access00 Ratings8.239 Ratings
    Mobile Application00 Ratings8.030 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings7.739 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Jupyter Notebook and Microsoft BI (MSBI)
    Feature
    Jupyter Notebook
    -
    Ratings
    Microsoft BI (MSBI)
    8.5
    24 Ratings
    9% above category average
    REST API00 Ratings9.221 Ratings
    Javascript API00 Ratings8.821 Ratings
    iFrames00 Ratings8.820 Ratings
    Java API00 Ratings8.718 Ratings
    Themeable User Interface (UI)00 Ratings8.021 Ratings
    Customizable Platform (Open Source)00 Ratings7.319 Ratings
    Best Alternatives
    Jupyter NotebookMicrosoft BI (MSBI)
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Cyfe
    Score4 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    Jaspersoft Community Edition
    Score7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Jupyter NotebookMicrosoft BI (MSBI)
    Likelihood to Recommend
    10.0
    (23 ratings)
    8.9
    (77 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.0
    (25 ratings)
    Usability
    10.0
    (2 ratings)
    8.9
    (19 ratings)
    Availability
    -
    (0 ratings)
    9.5
    (2 ratings)
    Performance
    -
    (0 ratings)
    7.0
    (2 ratings)
    Support Rating
    9.0
    (1 ratings)
    8.9
    (15 ratings)
    In-Person Training
    -
    (0 ratings)
    6.9
    (3 ratings)
    Online Training
    -
    (0 ratings)
    8.5
    (2 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.6
    (7 ratings)
    Configurability
    -
    (0 ratings)
    10.0
    (2 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.5
    (42 ratings)
    Data Sources
    -
    (0 ratings)
    8.4
    (41 ratings)
    User Testimonials
    Jupyter NotebookMicrosoft BI (MSBI)
    Likelihood to Recommend
    Open Source
    I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.
    Incentivized
    Read full review
    Microsoft
    Microsoft BI has a lot of features and is a very powerful tool, especially if you have folks on your team that know how to utilize all of its capabilities. To truly unlock all that it can do, it does require people to have a deep understanding of its capabilities. That's where the software really shines. If you are looking for a simpler, more basic reporting tool, there are other programs available that do not require such a steep learning curve.
    Incentivized
    Read full review
    Pros
    Open Source
    • Simple and elegant code writing ability. Easier to understand the code that way.
    • The ability to see the output after each step.
    • The ability to use ton of library functions in Python.
    • Easy-user friendly interface.
    Incentivized
    Read full review
    Microsoft
    • Comparatively easy to use compared to other data analytics solutions, collaborating with other colleagues on data work is simple.
    • Using Visual Studio for database, ETL, reporting, and analytics development save time and money.
    • Transfer of data from one application to another via Excel and comparison of data attributes between applications
    • Dashboard functionality, as well as Python support, are available, allowing you to add additional charts and graphs.
    Incentivized
    Read full review
    Cons
    Open Source
    • Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
    • Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.
    Incentivized
    Read full review
    Microsoft
    • MSBI designs can work on increasing data processing capabilities enough to handle the huge datasets etc.
    • It would be a lot better if it is a little low on cost.
    • it needs to create opportunities little more than they do regarding customization of some very unique visualization effects
    Read full review
    Likelihood to Renew
    Open Source
    No answers on this topic
    Microsoft
    Microsoft BI is fundamental to our suite of BI applications. That being said, Northcraft Analytics is focused on delighting our customers, so if the underlying factors of our decision change, we would choose to re-write our BI applications on a different stack. Luckily, mathematics are the fundamental IP of our technology... and is portable across all BI platforms for the foreseeable future.
    Read full review
    Usability
    Open Source
    Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.
    Incentivized
    Read full review
    Microsoft
    The Microsoft BI tools have great usability for both developers and end users alike. For developers familiar with Visual Studio, there is little learning curve. For those not, the single Visual Studio IDE means not having to learn separate tools for each component. For end-users, the web interface for SSRS is simple to navigate with intuitive controls. For ad-hoc analysis, Excel can connect directly to SSAS and provide a pivot table like experience which is familiar to many users. For database development, there is beginning to be some confusion, as there are now three tool choices (VS, SSMS, Azure Data Studio) for developers. I would like to see Azure Data Studio become the superset of SSMS and eventually supplant it.
    Incentivized
    Read full review
    Reliability and Availability
    Open Source
    No answers on this topic
    Microsoft
    The product has been reliable.
    Read full review
    Performance
    Open Source
    No answers on this topic
    Microsoft
    SQL Server Reporting Services (SSRS) can drag at times. We created two report servers and placed them under an F5 load balancer. This configuration has worked well. We have seen sluggish performance at times due to the Windows Firewall.
    Read full review
    Support Rating
    Open Source
    I haven't had a need to contact support. However, all required help is out there in public forums.
    Incentivized
    Read full review
    Microsoft
    MSBI natively has a site that allows you to vote on user enhancements and bug fixes. This allows the largest nagging issues to float to the top and the development team can prioritize accordingly. As mentioned earlier, the large community base of MSBI developers assist technical resources in handling technical questions.
    Incentivized
    Read full review
    In-Person Training
    Open Source
    No answers on this topic
    Microsoft
    This training was more directed toward what the product was capable of rather than actual programming.
    Read full review
    Online Training
    Open Source
    No answers on this topic
    Microsoft
    I have used on-line training from Microsoft and from Pragmatic Works. I would recommend Pragmatic Works as the best way to get up to speed quickly, and then use the Microsoft on-line training to deep dive into specific features that you need to get depth with.
    Read full review
    Implementation Rating
    Open Source
    No answers on this topic
    Microsoft
    We are a consulting firm and as such our best resources are always billing on client projects. Our internal implementation has weaknesses, but that's true for any company like ours. My rating is based on the product's ease of implementation.
    Read full review
    Alternatives Considered
    Open Source
    With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.
    Incentivized
    Read full review
    Microsoft
    We have used the built in ConnectWise Manager reports and custom reports. The reports provide static data. PowerBI shows us live data we can drill down into and easily adjust parameters. It's much more useful than a static PDF report.
    Incentivized
    Read full review
    Return on Investment
    Open Source
    • Positive impact: flexible implementation on any OS, for many common software languages
    • Positive impact: straightforward duplication for adaptation of workflows for other projects
    • Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration
    Incentivized
    Read full review
    Microsoft
    • As a SaaS provider we see being able to provide self-service BI to our client users as a competitive advantage. In fact the MSSQL enabled BI is a contributing factor to many winning RFPs we have done for prospective client organisations.
    • However MSSQL BI requires extensive knowledge and skills to design and develop data warehouses & data models as a foundation to support business analysts and users to interrogate data effectively and efficiently. Often times we find having strong in-house MSSQL expertise is a bless.
    Incentivized
    Read full review
    ScreenShots