TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    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

    SAP Datasphere

    Score8.6 out of 10
    N/ASAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. SAP Datasphere enables users to distribute mission-critical business data — with business context and logic preserved — across the data…N/A
    Pricing
    Jupyter NotebookSAP Datasphere
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Jupyter NotebookSAP Datasphere
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—SAP Datasphere is available as a subscription or consumption-based model. The SAP Datasphere capacity unit (CU) offers an adaptable approach to pricing that enables any workload on any hyperscaler. The number of CUs required is determined by the unique workload, with the ability to tailor the combination of required services within SAP Datasphere utilizing a flexible tenant configuration. The services that contribute to CU consumption are the core application (compute and storage), data lake, BW bridge, data integration, and data catalog (crawling and storage).
    More Pricing Information
    Community Pulse
    Jupyter NotebookSAP Datasphere
    Considered Both Products
    Open Source
    No answer on this topic
    SAP
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    23 Answers
    95%
    Would buy again
    121 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    95%
    Delivers good value for the price
    108 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    22 Answers
    93%
    Happy with the feature set
    119 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    17 Answers
    92%
    Lived up to sales and marketing promises
    99 Answers
    Implementation went as expected
    95%
    Implementation went as expected
    20 Answers
    89%
    Implementation went as expected
    103 Answers
    Features
    Jupyter NotebookSAP Datasphere
    Platform Connectivity
    Comparison of Platform Connectivity features of Jupyter Notebook and SAP Datasphere
    Feature
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    SAP Datasphere
    -
    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 SAP Datasphere
    Feature
    Jupyter Notebook
    7.0
    22 Ratings
    19% below category average
    SAP Datasphere
    -
    Ratings
    Visualization6.022 Ratings00 Ratings
    Interactive Data Analysis8.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jupyter Notebook and SAP Datasphere
    Feature
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    SAP Datasphere
    -
    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 SAP Datasphere
    Feature
    Jupyter Notebook
    9.3
    22 Ratings
    9% above category average
    SAP Datasphere
    -
    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 SAP Datasphere
    Feature
    Jupyter Notebook
    10.0
    20 Ratings
    16% above category average
    SAP Datasphere
    -
    Ratings
    Flexible Model Publishing Options10.020 Ratings00 Ratings
    Security, Governance, and Cost Controls10.019 Ratings00 Ratings
    Best Alternatives
    Jupyter NotebookSAP Datasphere
    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
    Talend Data Fabric
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Jupyter NotebookSAP Datasphere
    Likelihood to Recommend
    10.0
    (23 ratings)
    8.7
    (127 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    6.8
    (4 ratings)
    Usability
    10.0
    (2 ratings)
    8.4
    (69 ratings)
    Support Rating
    9.0
    (1 ratings)
    9.0
    (21 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    8.4
    (8 ratings)
    Professional Services
    -
    (0 ratings)
    8.8
    (4 ratings)
    User Testimonials
    Jupyter NotebookSAP Datasphere
    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
    SAP
    SAP Datasphere is well suited for scalable cloud based data integration scenarios which also opens up the doors for AI driven insights which are much harder to achieve with on-prem data warehouses. Considering the licensing model of SAP Datasphere being based on consumption driven capacity units cost can be a big consideration for organizations with large volumes of data that can be a pre-requisite for data mining and AI use cases. So this can be a bottleneck or not so well adopted scenario for SAP Datasphere.
    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
    SAP
    • SAP Data Warehouse Cloud offers free trial for 90 days with free 128 GB of storage and 64 GB memory.
    • Availability of self-service data modeling and analytics on SAP Data Warehouse Cloud enables users to access and analyze data without getting support from the IT team.
    • Without zero coding while collecting, connecting, analyzing and modeling data, it saves us time and operational costs of partnering with external IT support experts.
    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
    SAP
    • Need to have a good understanding of the SAP ecosystem to implement and use it.
    • From a cost perspective it can be little bit on the expensive side for enterprises.
    • The platform is still new and hence more subjected to bugs. But support for it is always good from the SAP team.
    Incentivized
    Read full review
    Likelihood to Renew
    Open Source
    No answers on this topic
    SAP
    Datasphere can come with its own challenges which can feel like a mountain to get over. However, once one has an understanding of how the product works it becomes easier to use. Once the time is spent to get it setup and working correctly very little is needed to keep it running smoothly. Its a great tool it just takes time to learn.
    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
    SAP
    SAP has suggested that BW 7.5 will be sunset soon. Usability is good in SAP BW Modernization. Instead of going with other non-SAP tools, staying with SAP will be suitable for existing users. Across the board, many of them are moving to DataSphere.
    Incentivized
    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
    SAP
    I would greatly acknowledge the services of Sap Data [warehouse Cloud] because we were struggling before its arrival where we used to get manual data connections and this used to consume a lot of time but after its use, we now are able to connect data easily saving a lot of time and finances.
    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
    SAP
    Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for users, and it is widely up for data quality, data governance, and data discovery.
    Incentivized
    Read full review
    Contract Terms and Pricing Model
    Open Source
    No answers on this topic
    SAP
    Despite the pricing model being expensive for small businesses, it provides decent features and capabilities for organizations of different sizes and it's an appropriate investment in today's business environment where there is constant pressure to build a scalable and flexible analytics service
    Incentivized
    Read full review
    Professional Services
    Open Source
    No answers on this topic
    SAP
    Ever since we implemented SAP Data Warehouse Cloud, we have been able to reduce the additional costs of hiring third-party service providers by incorporating professional services offered by the vendor.
    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
    SAP
    • Preserving data quality has enhanced governance on data by having a single source that is accessible to every business user via self-service capabilities.
    • Operational cost is lowered by connecting data in one integrated solution hence making it easy to access information without having to keeping logging to other applications. Additionally, no external IT support is needed since SAP Data Warehouse Cloud has no-coding modeling tools.
    • SAP Data Warehouse Cloud has enabled every business user to understand different data by transforming data to real insights.
    Incentivized
    Read full review
    ScreenShots