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Azure Data Science Virtual Machines (DSVM) vs. SAP Business Data Cloud

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Azure Data Science Virtual Machines (DSVM)

    Score8.4 out of 10
    N/AAvailable on Microsoft's Azure platform, Data Science Virtual Machines (DSVMs) are comprehensive pre-configured virtual machines for data science modelling, development and deployment.N/A

    SAP Business Data Cloud

    Score8.6 out of 10
    N/ASAP Business Data Cloud is a fully managed SaaS solution that unifies and governs all SAP data and seamlessly connects with third-party data—giving line-of-business leaders context to make even more impactful decisions.N/A
    Pricing
    Azure Data Science Virtual Machines (DSVM)SAP Business Data Cloud
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Azure Data Science Virtual Machines (DSVM)SAP Business Data Cloud
    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
    Azure Data Science Virtual Machines (DSVM)SAP Business Data Cloud
    Considered Both Products
    Microsoft
    No answer on this topic
    SAP
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    91%
    Would buy again
    39 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    28 Answers
    Happy with the feature set
    No answers on this topic
    88%
    Happy with the feature set
    38 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    80%
    Lived up to sales and marketing promises
    24 Answers
    Implementation went as expected
    No answers on this topic
    77%
    Implementation went as expected
    24 Answers
    Features
    Azure Data Science Virtual Machines (DSVM)SAP Business Data Cloud
    Platform Connectivity
    Comparison of Platform Connectivity features of Azure Data Science Virtual Machines (DSVM) and SAP Business Data Cloud
    Feature
    Azure Data Science Virtual Machines (DSVM)
    8.7
    2 Ratings
    4% above category average
    SAP Business Data Cloud
    -
    Ratings
    Connect to Multiple Data Sources7.82 Ratings00 Ratings
    Extend Existing Data Sources9.01 Ratings00 Ratings
    Automatic Data Format Detection9.01 Ratings00 Ratings
    MDM Integration9.01 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Azure Data Science Virtual Machines (DSVM) and SAP Business Data Cloud
    Feature
    Azure Data Science Virtual Machines (DSVM)
    8.1
    2 Ratings
    4% below category average
    SAP Business Data Cloud
    -
    Ratings
    Visualization7.82 Ratings00 Ratings
    Interactive Data Analysis8.42 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Azure Data Science Virtual Machines (DSVM) and SAP Business Data Cloud
    Feature
    Azure Data Science Virtual Machines (DSVM)
    8.9
    2 Ratings
    8% above category average
    SAP Business Data Cloud
    -
    Ratings
    Interactive Data Cleaning and Enrichment9.01 Ratings00 Ratings
    Data Transformations9.01 Ratings00 Ratings
    Data Encryption9.01 Ratings00 Ratings
    Built-in Processors8.42 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Azure Data Science Virtual Machines (DSVM) and SAP Business Data Cloud
    Feature
    Azure Data Science Virtual Machines (DSVM)
    8.4
    2 Ratings
    1% below category average
    SAP Business Data Cloud
    -
    Ratings
    Multiple Model Development Languages and Tools8.42 Ratings00 Ratings
    Automated Machine Learning9.02 Ratings00 Ratings
    Single platform for multiple model development7.82 Ratings00 Ratings
    Self-Service Model Delivery8.42 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Azure Data Science Virtual Machines (DSVM) and SAP Business Data Cloud
    Feature
    Azure Data Science Virtual Machines (DSVM)
    7.7
    2 Ratings
    10% below category average
    SAP Business Data Cloud
    -
    Ratings
    Flexible Model Publishing Options8.42 Ratings00 Ratings
    Security, Governance, and Cost Controls7.01 Ratings00 Ratings
    Best Alternatives
    Azure Data Science Virtual Machines (DSVM)SAP Business Data Cloud
    Small Businesses
    RapidMiner
    Score8.9 out of 10
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    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
    Azure Data Science Virtual Machines (DSVM)SAP Business Data Cloud
    Likelihood to Recommend
    8.4
    (2 ratings)
    8.6
    (37 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.2
    (5 ratings)
    Usability
    -
    (0 ratings)
    8.6
    (36 ratings)
    Availability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Performance
    -
    (0 ratings)
    8.2
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    8.2
    (1 ratings)
    In-Person Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Online Training
    -
    (0 ratings)
    7.3
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.2
    (2 ratings)
    Configurability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    7.3
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    8.2
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Professional Services
    -
    (0 ratings)
    8.2
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.2
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.2
    (1 ratings)
    User Testimonials
    Azure Data Science Virtual Machines (DSVM)SAP Business Data Cloud
    Likelihood to Recommend
    Microsoft
    Azure DSVM is useful in [a] Machine Learning environment where GPU-based processing is [required]. [The] most relevant [users] for the Azure DSVM is in ML/AI for model training and processing [high-end] CPU tasks with GPU compatibility. Azure DSVM is built for [a] startup to low medium IT environments where the ML/AI-based projects are [carried] out.
    Read full review
    SAP
    SAP Business Data Cloud is suited mainly for SAP data integration. We could able to easily consolidate the data from S4 and service cloud V2 system. SAP Business Data Cloud enables realtime data replications. We could able to leverage the AI core features. As my previous data warehousing skill is from SAP BW, I am missing some basic features comparing to BW. Master data manual maintenance, Time dependant masterdata, language independent text is also not straightforward.
    Incentivized
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    Pros
    Microsoft
    • Leveraging data.
    • Computer vision.
    • Data science.
    Incentivized
    Read full review
    SAP
    • Support for AI/ML use cases with SAP Data bricks and without the need to physically transfer the data from datasphere environment.
    • Provide near realtime data for analytics from S4C public cloud via data products which was the primary business problem that our customers were concerned with
    • Provides support to use the best of both the worlds like SAP and Databricks
    • New releases that support for the zero-copy delta share via SAP Business Data Cloud connect to other products like snowflake, google big query and other products in roadmap
    • Moving towards the lakehouse architecture or similar architecture from the former warehouse architecture to meet the increasing demand for the data
    Incentivized
    Read full review
    Cons
    Microsoft
    • Azure DSVM pricing must be reduced so that an AI-based start-up can use the Azure DSVM.
    • Azure must create an environment to use Azure DSVM offline as well.
    • Lack of frameworks
    Read full review
    SAP
    • Though SAP Business Data Cloud supports non-SAP data, integration is still not user friendly
    • Since it combines multiple services together, Cost is based on usage of the tool
    • Could be better if there is automated BW to SAP Business Data Cloud migration tool along with ABAP logic conversion support
    Incentivized
    Read full review
    Likelihood to Renew
    Microsoft
    No answers on this topic
    SAP
    In the new analytics world, BDC has been a game changer for SAP Analytics. Extending the SAP data for the usage in Databricks, snow flake, GCP has opened new doors for Analytics . Shift from traditional data warehousing to Business Data fabric adapting to the change in the analytics world is the need of the hour and Sap has managed to pulled it off with BDC
    Incentivized
    Read full review
    Usability
    Microsoft
    No answers on this topic
    SAP
    SAP Business Data Cloud offers robust capabilities that enable me to analyze data and extract valuable business insights. It creates a single source of truth with seamless SAP integrations that enable faster, more reliable reporting. It has freed my team from complex engineering efforts by simplifying data analytics, giving us more time to focus on generating insights.
    Incentivized
    Read full review
    Reliability and Availability
    Microsoft
    No answers on this topic
    SAP
    SAP Business Data Cloud has been highly available and reliable for our day-to-day activities. We have experienced very few disruptions, and the platform generally performs consistently. The reason for not awarding a perfect score is that occasional maintenance activities or cloud service issues can occur, as is common with any enterprise SaaS platform. Overall, availability has met our business needs very well.
    Incentivized
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    Performance
    Microsoft
    No answers on this topic
    SAP
    SAP Business Data Cloud provides solid overall performance, with pages and standard reports generally loading within an acceptable timeframe. The platform handles enterprise-scale data and analytics workloads effectively. While very large datasets, complex reports, or extensive integrations can occasionally impact response times, overall performance has been reliable and suitable for business operations.
    Incentivized
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    Support Rating
    Microsoft
    No answers on this topic
    SAP
    support team is generally responsive and knowledgeable, and most issues are addressed within acceptable timelines. Documentation and standard guidance are helpful for common scenarios.
    Incentivized
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    In-Person Training
    Microsoft
    No answers on this topic
    SAP
    It will be more effective. Higher Engagement and Focus. we can ask questions and get the clarity on the spot. Better Knowledge Retention. Stronger Collaboration and Networking. Overall it will be a rich Communication. Sensitive or complex topics are often easier to discuss in person. Informal discussions during breaks often lead to valuable knowledge sharing.
    Incentivized
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    Online Training
    Microsoft
    No answers on this topic
    SAP
    One of the best training session I attended and they covered most of the topics and answered all our questions. participants joined from different regions, infact they all had a different questions and it was different thoughts from all of then and helped to learn better. Though I was on travel, I could able yo attend the session.
    Incentivized
    Read full review
    Implementation Rating
    Microsoft
    No answers on this topic
    SAP
    I have done implementation of models in traditional bw and Using BDC. The integration of BDC with S4 hana for creating sap data products is seamless and reduces lot of implementation effort. The intelligent app feature is BDC also eases the implementation effort. If i have to compare the previous world with new BDC, implementation effort is largely saved
    Incentivized
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    Alternatives Considered
    Microsoft
    It's within the Azure environment and it's easy to manage.
    Incentivized
    Read full review
    SAP
    With a S4 backend a lot of core functionality is made simpler - authorization, data types, currency conversion. In particular if the front end choice is SAP Analytics Cloud. The lack of a good connection from Power BI to the datasphere application (instead of the underlying HANA cloud) is a major drawback in that scenario.
    Incentivized
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    Contract Terms and Pricing Model
    Microsoft
    No answers on this topic
    SAP
    I would rate the contract terms and pricing structure of SAP Business Data Cloud as 7 out of 10. The pricing model is generally aligned with enterprise-scale deployments and provides flexibility for organizations looking to consolidate data, analytics, and governance capabilities on a single platform. The contract terms are comprehensive, and SAP offers multiple licensing options to support different business requirements and growth scenarios.The primary reason for this rating is that the pricing and licensing structure can be complex to understand, particularly when estimating long-term costs as data volumes, users, and workloads increase. Greater transparency around consumption-based charges, usage forecasting, and future scaling costs would make planning easier. I would also prefer simpler licensing bundles and more predictable pricing tiers. Overall, the model supports enterprise needs well, but additional simplicity and clarity would improve the customer experience and make budgeting more straightforward.
    Incentivized
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    Scalability
    Microsoft
    No answers on this topic
    SAP
    SAP Business Data Cloud provides strong scalability for enterprise data management and analytics, supporting growth in data volumes, users, and business use cases. The platform's extensibility and integration capabilities make it adaptable across departments and sites. The reason I did not rate it higher is that large-scale deployments may require additional effort around governance, integration, and advanced customization to fully realize enterprise-wide adoption
    Incentivized
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    Professional Services
    Microsoft
    No answers on this topic
    SAP
    The professional services team demonstrated strong technical expertise and a solid understanding of data integration, analytics, governance, and cloud architecture. They provided valuable guidance during planning, implementation, and configuration phases, helping accelerate deployment and reduce potential risks. Their recommendations aligned well with best practices and supported a smooth transition to the platform.The reason I did not assign a higher rating is that some specialized requirements required additional consultation cycles and coordination between different teams, which occasionally extended timelines. In certain cases, deeper industry-specific examples or more tailored implementation guidance would have been beneficial. Despite these challenges, the team remained responsive, collaborative, and focused on achieving business outcomes. Overall, the professional services engagement added significant value and helped maximize the benefits of the SAP Business Data Cloud investment.
    Incentivized
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    Return on Investment
    Microsoft
    • Azure DSVM is little costly with long term support for ML based environments.
    • Azure DSVM is very good for short tasking and costs us [a] little low than the on-prem server.
    • [Scaling] option is very convenient.
    Read full review
    SAP
    • SAP Business Data Cloud has made it very simple for Dashboards and stories to be created using various features provided to users
    • Due to High maintenance and governance costs not many users are convinced to move from legacy systems like BOBJ.
    • Data fabric architecture has made it very simple and cost effective to bring various models onboard to SAP Business Data Cloud
    Incentivized
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    ScreenShots