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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    SAS Enterprise Miner

    Score9 out of 10
    N/ASAS Enterprise Miner is a data science and statistical modeling solution enabling the creation of predictive and descriptive models on very large data sources across the organization.N/A
    Pricing
    SAP Business Data CloudSAS Enterprise Miner
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    SAP Business Data CloudSAS Enterprise Miner
    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
    SAP Business Data CloudSAS Enterprise Miner
    Considered Both Products
    SAP
    No answer on this topic
    SAS
    No answer on this topic
    Key User Insights
    Would buy again
    91%
    Would buy again
    39 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    28 Answers
    No answers on this topic
    Happy with the feature set
    88%
    Happy with the feature set
    38 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    80%
    Lived up to sales and marketing promises
    24 Answers
    No answers on this topic
    Implementation went as expected
    77%
    Implementation went as expected
    24 Answers
    No answers on this topic
    Features
    SAP Business Data CloudSAS Enterprise Miner
    Platform Connectivity
    Comparison of Platform Connectivity features of SAP Business Data Cloud and SAS Enterprise Miner
    Feature
    SAP Business Data Cloud
    -
    Ratings
    SAS Enterprise Miner
    8.8
    4 Ratings
    5% above category average
    Connect to Multiple Data Sources00 Ratings8.14 Ratings
    Extend Existing Data Sources00 Ratings9.04 Ratings
    Automatic Data Format Detection00 Ratings9.34 Ratings
    MDM Integration00 Ratings9.02 Ratings
    Data Exploration
    Comparison of Data Exploration features of SAP Business Data Cloud and SAS Enterprise Miner
    Feature
    SAP Business Data Cloud
    -
    Ratings
    SAS Enterprise Miner
    8.1
    4 Ratings
    4% below category average
    Visualization00 Ratings7.14 Ratings
    Interactive Data Analysis00 Ratings9.14 Ratings
    Data Preparation
    Comparison of Data Preparation features of SAP Business Data Cloud and SAS Enterprise Miner
    Feature
    SAP Business Data Cloud
    -
    Ratings
    SAS Enterprise Miner
    8.0
    4 Ratings
    2% below category average
    Interactive Data Cleaning and Enrichment00 Ratings7.84 Ratings
    Data Transformations00 Ratings8.24 Ratings
    Data Encryption00 Ratings8.12 Ratings
    Built-in Processors00 Ratings8.12 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of SAP Business Data Cloud and SAS Enterprise Miner
    Feature
    SAP Business Data Cloud
    -
    Ratings
    SAS Enterprise Miner
    8.8
    4 Ratings
    4% above category average
    Multiple Model Development Languages and Tools00 Ratings7.54 Ratings
    Automated Machine Learning00 Ratings9.82 Ratings
    Single platform for multiple model development00 Ratings8.54 Ratings
    Self-Service Model Delivery00 Ratings9.23 Ratings
    Model Deployment
    Comparison of Model Deployment features of SAP Business Data Cloud and SAS Enterprise Miner
    Feature
    SAP Business Data Cloud
    -
    Ratings
    SAS Enterprise Miner
    7.8
    4 Ratings
    9% below category average
    Flexible Model Publishing Options00 Ratings7.04 Ratings
    Security, Governance, and Cost Controls00 Ratings8.54 Ratings
    Best Alternatives
    SAP Business Data CloudSAS Enterprise Miner
    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
    SAP Business Data CloudSAS Enterprise Miner
    Likelihood to Recommend
    8.6
    (37 ratings)
    9.9
    (4 ratings)
    Likelihood to Renew
    8.2
    (5 ratings)
    -
    (0 ratings)
    Usability
    8.6
    (36 ratings)
    -
    (0 ratings)
    Availability
    8.2
    (1 ratings)
    -
    (0 ratings)
    Performance
    8.2
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.2
    (1 ratings)
    10.0
    (2 ratings)
    In-Person Training
    8.2
    (1 ratings)
    -
    (0 ratings)
    Online Training
    7.3
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    8.2
    (2 ratings)
    -
    (0 ratings)
    Configurability
    8.2
    (1 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    7.3
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    8.2
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    8.2
    (1 ratings)
    -
    (0 ratings)
    Professional Services
    8.2
    (1 ratings)
    -
    (0 ratings)
    Vendor post-sale
    8.2
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    8.2
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    SAP Business Data CloudSAS Enterprise Miner
    Likelihood to Recommend
    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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    SAS
    SAS Enterprise Miner is world-class software for individuals interested in developing reproducible models in a reasonable amount of time. Perhaps the most useful part of SAS Enterprise Miner is the ability to compare models with other models without writing code. The ensemble modeling capabilities is the easiest way to do ensemble modeling I have come across. SAS Enterprise Miner is well-suited for beginning to advanced analysts who know something about advanced analytics. The software is not well-suited for analysts or companies that have little interest in advanced modeling.
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    Pros
    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
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    SAS
    • Enterprise Miner is really visual and lets you do a whole lot without actually going into the detailed options. For decent results, you should really explore the different advanced options though.
    • The recent versions of Miner allow users to use R code in Miner. You can then compare several models and approach to get the best performing model.
    • The resulting data is really well displayed and easy to understand (ex: the lift graph, score ranking, etc.)
    • Miner has the ability to integrate custom SAS code which allows the user to add functionalities that are specific to the project.
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    Cons
    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
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    SAS
    • SAS is not as user friendly as other stats software.
    Incentivized
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    Likelihood to Renew
    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
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    SAS
    No answers on this topic
    Usability
    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
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    SAS
    No answers on this topic
    Reliability and Availability
    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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    SAS
    No answers on this topic
    Performance
    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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    SAS
    No answers on this topic
    Support Rating
    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.
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    SAS
    SAS' customer support used to be non-existent many years ago. Today, contacting SAS customer support is great. They are responsible, knowledgable, and seem to have an interest in getting the results right the first time. With that said, Enterprise Miner's online support is weak, probably because the user base is much smaller than other tools.
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    In-Person Training
    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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    SAS
    No answers on this topic
    Online Training
    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
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    SAS
    No answers on this topic
    Implementation Rating
    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
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    SAS
    No answers on this topic
    Alternatives Considered
    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.
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    SAS
    SAS EM has a very great set of machine learning and predictive analytics toolsets, which helped our organization achieve its goals. We used other tools, but for us, SAS EM was the most intuitive and easy to learn the tool and it provides greater data exploration and data preparation capabilities compared to the other tools we used.
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    Contract Terms and Pricing Model
    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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    SAS
    No answers on this topic
    Scalability
    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
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    SAS
    No answers on this topic
    Professional Services
    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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    SAS
    No answers on this topic
    Return on Investment
    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
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    SAS
    • In our organization, users were using SAS already so the learning curve was really low. Within a few weeks after the implementation, the users were already delivering models developed with SAS Enterprise Miner. It is difficult to talk about ROI as models were already being developed before. It was mostly a change of technology and it was a smooth transition.
    • Going with Enterprise Miner came with migration from desktop use of SAS to a server use of SAS. This created a new role of SAS administrator. This was obviously a cost but as the use of SAS increased greatly, it was expected.
    • From a methodology standpoint, Enterprise Miner helped greatly in the documentation of the model development which was a requirement in a few groups such as the risk groups. Having a visual "GUI-like" approach to development, the flowchart or diagram of the project in Miner was able to give users a good understanding of the approach the analyst took to develop the model.
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    ScreenShots