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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

    Tableau Server

    Score7.5 out of 10
    N/ATableau Server allows Tableau Desktop users to publish dashboards to a central server to be shared across their organizations. The product is designed to facilitate collaboration across the organization. It can be deployed on a server in the data center, or it can be deployed on a public cloud.

    $12

    Per User Per Month

    Pricing
    Jupyter NotebookTableau Server
    Editions & Modules
    No answers on this topic
    Viewer
    $12.00
    Per User Per Month
    Explorer
    $35.00
    Per User Per Month
    Creator
    $70.00
    Per User Per Month
    Offerings
    Pricing Offerings
    Jupyter NotebookTableau Server
    Free Trial
    NoYes
    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 NotebookTableau Server
    Considered Both Products
    Open Source
    No answer on this topic
    Tableau
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    23 Answers
    75%
    Would buy again
    6 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    75%
    Delivers good value for the price
    6 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    22 Answers
    88%
    Happy with the feature set
    7 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    17 Answers
    No answers on this topic
    Implementation went as expected
    95%
    Implementation went as expected
    20 Answers
    71%
    Implementation went as expected
    5 Answers
    Features
    Jupyter NotebookTableau Server
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and Tableau Server
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Tableau Server
    -
    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 Tableau Server
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    Tableau Server
    -
    Ratings
    Visualization6.022 Ratings00 Ratings
    Interactive Data Analysis8.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and Tableau Server
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Tableau Server
    -
    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 Tableau Server
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    Tableau Server
    -
    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 Tableau Server
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    Tableau Server
    -
    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 Tableau Server
    Feature
    Jupyter Notebook
    -
    Ratings
    Tableau Server
    8.4
    95 Ratings
    3% above category average
    Pixel Perfect reports00 Ratings9.129 Ratings
    Customizable dashboards00 Ratings7.094 Ratings
    Report Formatting Templates00 Ratings9.081 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Jupyter Notebook and Tableau Server
    Feature
    Jupyter Notebook
    -
    Ratings
    Tableau Server
    7.8
    95 Ratings
    3% below category average
    Drill-down analysis00 Ratings8.095 Ratings
    Formatting capabilities00 Ratings8.093 Ratings
    Integration with R or other statistical packages00 Ratings8.059 Ratings
    Report sharing and collaboration00 Ratings7.089 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Jupyter Notebook and Tableau Server
    Feature
    Jupyter Notebook
    -
    Ratings
    Tableau Server
    7.2
    91 Ratings
    13% below category average
    Publish to Web00 Ratings8.085 Ratings
    Publish to PDF00 Ratings7.084 Ratings
    Report Versioning00 Ratings8.070 Ratings
    Report Delivery Scheduling00 Ratings8.077 Ratings
    Delivery to Remote Servers00 Ratings5.19 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Jupyter Notebook and Tableau Server
    Feature
    Jupyter Notebook
    -
    Ratings
    Tableau Server
    8.3
    90 Ratings
    4% above category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings9.086 Ratings
    Location Analytics / Geographic Visualization00 Ratings8.085 Ratings
    Predictive Analytics00 Ratings8.064 Ratings
    Pattern Recognition and Data Mining00 Ratings8.01 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Jupyter Notebook and Tableau Server
    Feature
    Jupyter Notebook
    -
    Ratings
    Tableau Server
    10.0
    95 Ratings
    16% above category average
    Multi-User Support (named login)00 Ratings10.093 Ratings
    Role-Based Security Model00 Ratings10.090 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings10.092 Ratings
    Report-Level Access Control00 Ratings10.01 Ratings
    Single Sign-On (SSO)00 Ratings10.062 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Jupyter Notebook and Tableau Server
    Feature
    Jupyter Notebook
    -
    Ratings
    Tableau Server
    8.1
    79 Ratings
    5% above category average
    Responsive Design for Web Access00 Ratings10.077 Ratings
    Mobile Application00 Ratings7.061 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings7.068 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Jupyter Notebook and Tableau Server
    Feature
    Jupyter Notebook
    -
    Ratings
    Tableau Server
    6.4
    46 Ratings
    19% below category average
    REST API00 Ratings8.040 Ratings
    Javascript API00 Ratings8.037 Ratings
    iFrames00 Ratings6.040 Ratings
    Java API00 Ratings5.57 Ratings
    Themeable User Interface (UI)00 Ratings6.19 Ratings
    Customizable Platform (Open Source)00 Ratings4.67 Ratings
    Best Alternatives
    Jupyter NotebookTableau Server
    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
    Sisense
    Score6.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Jupyter NotebookTableau Server
    Likelihood to Recommend
    10.0
    (23 ratings)
    8.0
    (111 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (20 ratings)
    Usability
    10.0
    (2 ratings)
    8.0
    (17 ratings)
    Availability
    -
    (0 ratings)
    9.0
    (9 ratings)
    Performance
    -
    (0 ratings)
    8.1
    (8 ratings)
    Support Rating
    9.0
    (1 ratings)
    3.0
    (18 ratings)
    In-Person Training
    -
    (0 ratings)
    8.0
    (4 ratings)
    Online Training
    -
    (0 ratings)
    9.0
    (9 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.1
    (13 ratings)
    Configurability
    -
    (0 ratings)
    8.0
    (1 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    5.1
    (79 ratings)
    Data Sources
    -
    (0 ratings)
    6.6
    (82 ratings)
    User Testimonials
    Jupyter NotebookTableau Server
    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
    Tableau
    Whole funnel and specific channel performance from upper to lower funnel metrics. The ability to view full channel performance for some time, such as weekly, monthly, or quarterly, has truly been monumental in how my team optimizes specific channels and campaigns. Daily performance tracking is a bit overwhelming, with load times and having to refresh specific live views over time. It can be challenging to do so at times, as extensive dashboards take much longer to load.
    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
    Tableau
    • It's good at doing what it is designed for: accessing visualizations without having to download and open a workbook in Tableau Desktop. The latter would be a very inefficient method for sharing our metrics, so I am glad that we have Tableau Server to serve this function.
    • Publishing to Tableau Server is quick and easy. Just a few clicks from Tableau Desktop and a few seconds of publishing through an average speed network, and the new visualizations are live!
    • Seeing details on who has viewed the visualization and when. This is something particularly useful to me for trying to drive adoption of some new pages, so I really appreciate the granularity provided in Tableau Server
    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
    Tableau
    • Tableau Server has had some issue handling some of our larger data sets. Our extract refreshes fail intermittently with no obvious error that we can fix
    • Tableau Server has been hard to work with before they launched their new Rest API, which is also a little tricky to work with
    Incentivized
    Read full review
    Likelihood to Renew
    Open Source
    No answers on this topic
    Tableau
    It simply is used all the time by more and more people. Migrating to something else would involve lots of work and lots of training. The renewal fee being fair, it simply isn't worth migrating to a different tool for now.
    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
    Read full review
    Tableau
    Tableau Server takes training and experience in order to unlock the application's full potential. This is best handled by a qualified data scientist or data analytics manager. Tableau user interface layout, nomenclature, and command structure take time and training to become proficient with. Integration and connectivity require proper IT developer support.
    Incentivized
    Read full review
    Reliability and Availability
    Open Source
    No answers on this topic
    Tableau
    Our instance of Tableau Server was hosted on premises (I believe all instances are) so if there were any outages it was normally due to scheduled maintenance on our end. If the Tableau server ever went down, a quick restart solved most issues
    Read full review
    Performance
    Open Source
    No answers on this topic
    Tableau
    While there are definitely cases where a user can do things that will make a particular worksheet or dashboard run slowly, overall the performance is extremely fast. The user experience of exploratory analysis particularly shines, there's nothing out there with the polish of Tableau.
    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
    Tableau
    We have consistently had highly satisfactory results every time we've reached out for help. Our contractor, used for Tableau server maintenance and dashboard development is very technically skilled. When he hits a roadblock on how to do something with Tableau, the support staff have provided timely and useful guidance. He frequently compares it to Cognos and says that while Cognos has capabilities Tableau doesn't, the bottom line value for us is a no-brainer
    Incentivized
    Read full review
    In-Person Training
    Open Source
    No answers on this topic
    Tableau
    In our case, they hired a private third party consultant to train our dept. It was extremely boring and felt like it dragged on. Everything I learned was self taught so I was not really paying attention. But I do think that you can easily spend a week on the tool and go over every nook and cranny. We only had the consultant in for a day or two.
    Read full review
    Online Training
    Open Source
    No answers on this topic
    Tableau
    The Tableau website is full of videos that you can follow at your own pace. As a very small company with a Tableau install, access to these free resources was incredibly useful to allowing me to implement Tableau to its potential in a reasonable and proportionate manner.
    Read full review
    Implementation Rating
    Open Source
    No answers on this topic
    Tableau
    Implementation was over the phone with the vendor, and did not go particularly well. Again, think this was our fault as our integration and IT oversight was poor, and we made errors. Would they have happened had a vendor been onsite? Not sure, probably not, but we probably wouldn't have paid for that either
    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
    Tableau
    Today, if my shop is largely Microsoft-centric, I would be hard pressed to choose a product other than Power BI. Tableau was the visualization leader for years, but Microsoft has caught up with them in many areas, and surpassed them in some. Its ability to source, transform, and model data is superior to Tableau. Tableau still has the lead in some visualizations, but Power BI's rise is evidenced by its ever-increasing position in the leadership section of the Gartner Magic Quadrant.
    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
    Tableau
    • Tableau does take dedicated FTE to create and analyze the data. It's too complex (and powerful) a product not to have someone dedicated to developing with it.
    • There are some significant setup for the server product.
    • Once sever setup is complete, it's largely "fire and forget" until an update is necessary. The server update process is cumbersome.
    Incentivized
    Read full review
    ScreenShots

    Tableau Server Screenshots

    Screenshot of Tableau Server interface and administration view 1.Screenshot of Tableau Server interface and administration view 2.Screenshot of Tableau Server permissions view.Screenshot of Tableau Services Manager (TSM) view 1.Screenshot of Tableau Services Manager (TSM) view 2.