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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

    TIBCO Data Virtualization

    Score8.6 out of 10
    N/ATIBCO Data Virtualization is an enterprise data virtualization solution that orchestrates access to multiple and varied data sources and delivers the datasets and IT-curated data services foundation for nearly any solution.N/A
    Pricing
    Jupyter NotebookTIBCO Data Virtualization
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Jupyter NotebookTIBCO Data Virtualization
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Jupyter NotebookTIBCO Data Virtualization
    Considered Both Products
    Open Source
    No answer on this topic
    Cloud Software Group
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    23 Answers
    78%
    Would buy again
    28 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    97%
    Delivers good value for the price
    28 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    22 Answers
    89%
    Happy with the feature set
    31 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
    24 Answers
    Implementation went as expected
    95%
    Implementation went as expected
    20 Answers
    87%
    Implementation went as expected
    26 Answers
    Features
    Jupyter NotebookTIBCO Data Virtualization
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and TIBCO Data Virtualization
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    TIBCO Data Virtualization
    -
    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 TIBCO Data Virtualization
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    TIBCO Data Virtualization
    -
    Ratings
    Visualization6.022 Ratings00 Ratings
    Interactive Data Analysis8.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and TIBCO Data Virtualization
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    TIBCO Data Virtualization
    -
    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 TIBCO Data Virtualization
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    TIBCO Data Virtualization
    -
    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 TIBCO Data Virtualization
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    TIBCO Data Virtualization
    -
    Ratings
    Flexible Model Publishing Options10.020 Ratings00 Ratings
    Security, Governance, and Cost Controls10.019 Ratings00 Ratings
    Best Alternatives
    Jupyter NotebookTIBCO Data Virtualization
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    No answers on this topic
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    No answers on this topic
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Jupyter NotebookTIBCO Data Virtualization
    Likelihood to Recommend
    10.0
    (23 ratings)
    7.1
    (43 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    6.1
    (3 ratings)
    Usability
    10.0
    (2 ratings)
    5.4
    (5 ratings)
    Availability
    -
    (0 ratings)
    8.0
    (2 ratings)
    Performance
    -
    (0 ratings)
    6.6
    (20 ratings)
    Support Rating
    9.0
    (1 ratings)
    7.9
    (21 ratings)
    Online Training
    -
    (0 ratings)
    8.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.9
    (3 ratings)
    Configurability
    -
    (0 ratings)
    8.0
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    3.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    8.0
    (2 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Jupyter NotebookTIBCO Data Virtualization
    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
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    Cloud Software Group
    TIBCO Data Virtualization is well suited for customers who are challenged to deal with extracting data from dozens of different sources and systems, and do not have the time and liberty to hire data engineers and/or ETL developers to write dozens or hundreds of complex ETLs. However, there are situations where TIBCO Data Virtualization severely underperforms, and those are where we are dealing with large volumes of data, in tera bytes or peta byte scale system. For example, a messaging queue which sends 200 million messages every hour will choke TIBCO Data Virtualization if the technology is chosen to route the data.
    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
    Cloud Software Group
    • Connecting to different data silos and presenting the data as a singled unified layer of data.
    • Exposing data to Technical and non technical users through Web UI or reporting tools
    • Secured exposure of data as web services.
    • Row level and column level data security
    • Multi tenancy data security.
    • Real time data by connecting to the operational databases
    • Historical data generation
    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
    Cloud Software Group
    • Performance of TDV Studio (its own IDE) is poor.
    • Performance of TDV repository database is rather poor for larger numbers of objects .(Note: We have approx. 9tsd objects introspected in TDV and approx. 20tsd objects generated in upper DV layers.)
    • Propagation of privileges to parent/child dependencies does not work when applying recursively on a folder. (It's a huge setback when working with large number of objects organized semantically into subfolders.)
    • Lack of command line client interface for scripting at the time of version 8.4 (I had to write my own CLI.)
    • TDV Studio does an absolutely horrible job with its own code editors when indentation is in place. Also, the editor is brutally slow and feature-poor.
    • Tracking privileges on the level of table/view columns causes occasional problems when regranting.
    • TDV's stored programs ("SQL scripts" in their own terminology) compiler leaves out many syntactic and semantic checks, making them hugely prone to run-time errors.
    • TDV Server's REST API is a very poor (in terms of features) and flawed cousin to its SOAP API (at the time of version 8.4).
    Incentivized
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    Likelihood to Renew
    Open Source
    No answers on this topic
    Cloud Software Group
    It is useful for us to see the data and do analysis. Also we use it to generate reports and see trends or gather insights
    Incentivized
    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
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    Cloud Software Group
    TDV's interface is a bit dated and not entirely intuitive. Would recommend some UX design review as the interface leaves a bit to be better understood to be used by users without inherent knowledge of Tibco. Overall I'd suggest more improvement here to ensure usability by a lesser tech audience.
    Incentivized
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    Reliability and Availability
    Open Source
    No answers on this topic
    Cloud Software Group
    We have never encountered issues where it was unavailable when we needed it.
    Incentivized
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    Performance
    Open Source
    No answers on this topic
    Cloud Software Group
    This product's performance is very consistent. It is extremely rare for templates to fail. I've been using this software for 5 years and find it to be both simple and powerful. The impact within the company has been very positive as different processes in different areas, such as data analysis, development, and integrations, have been improved, and, best of all, it has not affected the users. Various systems with which it is connected in order to obtain information.
    Incentivized
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    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
    Cloud Software Group
    On a few occasions I have asked TIBCO technical support for help because I have adapted perfectly to their tools, but in those few that I have communicated with their technical team I have received personalized, attentive, responsible attention and I am always assisted by an expert staff the topic. A TIBCO technical support technician spent more than an hour helping me to solve a problem in the initial stage of implementation in my department and this is something that I always appreciate.
    Incentivized
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    Online Training
    Open Source
    No answers on this topic
    Cloud Software Group
    The training was helpful. I was able to understand how to use TIBCO for the data load process that we implemented and how to perform various troubleshooting steps based on the training I received. The technician was thorough and took the time to answer any questions. Once we were shown how to use TIBCO in the test environment, we were able to configure the production environment ourselves.
    Incentivized
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    Implementation Rating
    Open Source
    No answers on this topic
    Cloud Software Group
    Other vendors have clearer, more visual implementation documentation. We also did not have our data architect and and server administrator available full-time for implementation. In the future, we will secure the necessary internal resources.
    Incentivized
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    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
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    Cloud Software Group
    We did not need to evaluate another technology in the same category for data virtualization, since we are 100% sure of the capabilities and benefits that we would have with TIBCO Data Virtualization, both for market positioning as well as success stories from other companies. great renown worldwide. From the first day of use, it meets our needs to provide the expected solutions.
    Incentivized
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    Scalability
    Open Source
    No answers on this topic
    Cloud Software Group
    Good scaling
    Incentivized
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    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
    Cloud Software Group
    • We took spreadsheets that took hours a month to update and made them update automatically using TDV, saving hours a month of analyst time
    • The incremental cost of TDV relative to straight spotfire licensing made it a no-brainer due to the ease of data management
    • We continue to automate legacy business processes in TDV, saving time all over the organization.
    Incentivized
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    ScreenShots

    TIBCO Data Virtualization Screenshots

    Screenshot of Data Flow EditorScreenshot of Data CatalogScreenshot of Transform Editor