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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Denodo

    Score8 out of 10
    N/ADenodo is the eponymous data integration platform from the global company headquartered in Silicon Valley.N/A

    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
    Pricing
    DenodoJupyter Notebook
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    DenodoJupyter Notebook
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    DenodoJupyter Notebook
    Considered Both Products
    Denodo
    No answer on this topic
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    23 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    23 Answers
    Happy with the feature set
    No answers on this topic
    96%
    Happy with the feature set
    22 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    17 Answers
    Implementation went as expected
    No answers on this topic
    95%
    Implementation went as expected
    20 Answers
    Features
    DenodoJupyter Notebook
    Platform Connectivity
    Comparison of Platform Connectivity features of Denodo and Jupyter Notebook
    Feature
    Denodo
    -
    Ratings
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Connect to Multiple Data Sources00 Ratings10.022 Ratings
    Extend Existing Data Sources00 Ratings10.021 Ratings
    Automatic Data Format Detection00 Ratings8.514 Ratings
    MDM Integration00 Ratings7.415 Ratings
    Data Exploration
    Comparison of Data Exploration features of Denodo and Jupyter Notebook
    Feature
    Denodo
    -
    Ratings
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    Visualization00 Ratings6.022 Ratings
    Interactive Data Analysis00 Ratings8.022 Ratings
    Data Preparation
    Comparison of Data Preparation features of Denodo and Jupyter Notebook
    Feature
    Denodo
    -
    Ratings
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Interactive Data Cleaning and Enrichment00 Ratings10.021 Ratings
    Data Transformations00 Ratings10.022 Ratings
    Data Encryption00 Ratings8.514 Ratings
    Built-in Processors00 Ratings9.314 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Denodo and Jupyter Notebook
    Feature
    Denodo
    -
    Ratings
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    Multiple Model Development Languages and Tools00 Ratings10.021 Ratings
    Automated Machine Learning00 Ratings9.218 Ratings
    Single platform for multiple model development00 Ratings10.022 Ratings
    Self-Service Model Delivery00 Ratings8.020 Ratings
    Model Deployment
    Comparison of Model Deployment features of Denodo and Jupyter Notebook
    Feature
    Denodo
    -
    Ratings
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    Flexible Model Publishing Options00 Ratings10.020 Ratings
    Security, Governance, and Cost Controls00 Ratings10.019 Ratings
    Best Alternatives
    DenodoJupyter Notebook
    Small Businesses
    No answers on this topic
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    No answers on this topic
    Anaconda
    Score8.8 out of 10
    Enterprises
    No answers on this topic
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    DenodoJupyter Notebook
    Likelihood to Recommend
    8.8
    (6 ratings)
    10.0
    (23 ratings)
    Usability
    8.0
    (1 ratings)
    10.0
    (2 ratings)
    Performance
    8.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    -
    (0 ratings)
    9.0
    (1 ratings)
    User Testimonials
    DenodoJupyter Notebook
    Likelihood to Recommend
    Denodo
    Denodo allows us to create and combine new views to create a
    virtual repository and APIs without a single line of code. It is excellent
    because it can present connectors with a view format for downstream consumers
    by flattening a JSON file. Reading or connecting to various sources and
    displaying a tabular view is an excellent feature. The product's technical data
    catalog is well-organized.
    Incentivized
    Read full review
    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
    Pros
    Denodo
    • Database Agnostic: You can easily connect to different environments and mash up data sets.
    • The "magic" of data virtualization: No data is created, so data is reported in near-real-time to end users.
    • It's easy to use UI for developers. You just connect to a data source, create tables, and join them to other datasets.
    Incentivized
    Read full review
    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
    Cons
    Denodo
    • Caching - but I am sure it will be improved by now. There were times when we expected the cache to be refreshed but it was stale.
    • Schema generation of endpoints from API response was sometimes incomplete as not all API calls returned all the fields. Will be good to have an ability to load the schema itself (XSD/JSON/Soap XML etc).
    • Denodo exposed web services were in preliminary stage when we used; I'm sure it will be improved by now.
    • Export/Import deployment, while it was helpful, there were unexpected issues without any errors during deployment. Issues were only identified during testing. Some views were not created properly and did not work. If it was working in the environment from where it was exported from, it should work in the environment where it is imported.
    Incentivized
    Read full review
    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
    Usability
    Denodo
    Denodo is very easy to use. It has a user-friendly drag and drop interface. I'm not a fan of the java platform it resides on.
    Incentivized
    Read full review
    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
    Performance
    Denodo
    Denodo is a tool to rapidly mash data sources together and create meaningful datasets. It does have its downfalls though. When you create larger, more complex datasets, you will most likely need to cache your datasets, regardless of how proper your joins are set up. Since DV takes data from multiple environments, you are taxing the corporate network, so you need to be conscious of how much data you are sending through the network and truly understand how and when to join datasets due to this.
    Incentivized
    Read full review
    Open Source
    No answers on this topic
    Support Rating
    Denodo
    No answers on this topic
    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
    Alternatives Considered
    Denodo
    Denodo is simple and easy to use. Highly recommended unless you have huge volumes of data
    Incentivized
    Read full review
    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
    Return on Investment
    Denodo
    • It is a huge advantage that we can connect to many different databases to provide data rapidly and accurately.
    • It has proven to be a valuable environment for deploying data virtualization solutions, and its user community is active in finding and fixing issues.
    Incentivized
    Read full review
    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
    ScreenShots