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Oracle Autonomous Data Warehouse vs. SAP Data Intelligence

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Oracle Autonomous Data Warehouse

    Score8.1 out of 10
    N/AOracle Autonomous Data Warehouse is optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can discover business insights using data of any size and type. The solution is built for the cloud and optimized using Oracle Exadata.N/A

    SAP Data Intelligence

    Score7.6 out of 10
    N/ASAP Data Intelligence is presented by the vendor as a single solution to innovate with data. It provides data-driven innovation in the cloud, on premise, and through BYOL deployments. It is described by the vendor as the new evolution of the company's data orchestration and management solution running on Kubernetes, released by SAP in 2017 to deal with big data and complex data orchestration working across distributed landscapes and processing engine.N/A
    Pricing
    Oracle Autonomous Data WarehouseSAP Data Intelligence
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Oracle Autonomous Data WarehouseSAP Data Intelligence
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    Oracle Autonomous Data WarehouseSAP Data Intelligence
    Considered Both Products
    Oracle
    No answer on this topic
    SAP
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    7 Answers
    98%
    Would buy again
    51 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    6 Answers
    90%
    Delivers good value for the price
    36 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    7 Answers
    98%
    Happy with the feature set
    52 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    5 Answers
    88%
    Lived up to sales and marketing promises
    28 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    7 Answers
    86%
    Implementation went as expected
    32 Answers
    Best Alternatives
    Oracle Autonomous Data WarehouseSAP Data Intelligence
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    Cloudera Enterprise Data Hub
    Score9 out of 10
    SAP Datasphere
    Score8.6 out of 10
    Enterprises
    Oracle Exadata
    Score9.8 out of 10
    Talend Data Fabric
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Oracle Autonomous Data WarehouseSAP Data Intelligence
    Likelihood to Recommend
    8.9
    (32 ratings)
    8.1
    (55 ratings)
    Likelihood to Renew
    8.0
    (1 ratings)
    8.2
    (2 ratings)
    Usability
    -
    (0 ratings)
    8.2
    (50 ratings)
    Support Rating
    -
    (0 ratings)
    7.0
    (47 ratings)
    Implementation Rating
    9.0
    (1 ratings)
    -
    (0 ratings)
    Configurability
    -
    (0 ratings)
    8.2
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.1
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.1
    (1 ratings)
    User Testimonials
    Oracle Autonomous Data WarehouseSAP Data Intelligence
    Likelihood to Recommend
    Oracle
    II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.
    Incentivized
    Read full review
    SAP
    If you have an SAP products ecosystem in your IT landscape, it becomes a no-brainer to go ahead with an SAP Data Intelligence product for your data orchestration, data management, and advanced data analytics needs, such as data preparation for your AI/ML processes. It provides a seamless integration with other SAP products.
    Incentivized
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    Pros
    Oracle
    • Very easy and fast to load data into the Oracle Autonomous Data Warehouse
    • Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
    • Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
    • It is always patched and always available and you can add storage dynamically as you need it.
    Read full review
    SAP
    • It integrates well with our current ecosystem of SAP products, like HANA.
    • It provides end-to-end machine learning operations, with tools for the complete model life cycle.
    • It has a simple user interface for novice users, with complex tools also available for power users.
    • It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
    • It can run in the cloud, no on-premise software management needed.
    • Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
    • SAP is very actively developing and improving it.
    Incentivized
    Read full review
    Cons
    Oracle
    • It is very expensive product. But not to mention, there's good reasons why it is expensive.
    • The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
    • Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.
    Incentivized
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    SAP
    • Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization.
    Incentivized
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    Likelihood to Renew
    Oracle
    Because
    • It is really simple to provision and configure.
    • Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
    • Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.
    Incentivized
    Read full review
    SAP
    Allow collaborations among various personas
    with insights as ratings and comments on the
    datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence
    Incentivized
    Read full review
    Usability
    Oracle
    No answers on this topic
    SAP
    I think the troubleshooting process might be streamlined with improved error recording and tracing. A lot of information about issues and how to fix them is hidden away in the Kubernetes pods themselves. I'm not sure whether SAP Data Intelligence can fix this problem it may be connected to Kubernetes's design, in which case fixing it could need modifications inside Kubernetes itself.
    Incentivized
    Read full review
    Support Rating
    Oracle
    No answers on this topic
    SAP
    Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,
    Incentivized
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    Implementation Rating
    Oracle
    Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.
    Incentivized
    Read full review
    SAP
    No answers on this topic
    Alternatives Considered
    Oracle
    As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it
    Incentivized
    Read full review
    SAP
    One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.
    Incentivized
    Read full review
    Return on Investment
    Oracle
    • Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
    • Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
    • All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.
    Incentivized
    Read full review
    SAP
    • Automation of data management slashed tasks by over 60% in most departments for the first 8 months.
    • Metadata catalogs have enabled us to categorize data from disjointed sources in one place.
    • It runs multiple ML models which enhances flexibility when managing data.
    Incentivized
    Read full review
    ScreenShots

    SAP Data Intelligence Screenshots

    Screenshot of Business GlossaryScreenshot of Example of data quality operatorsScreenshot of Data profiling fact sheetScreenshot of SAP Data Intelligence Jupyter lab notebook for machine learningScreenshot of SAP Data Intelligence data pipeline using PythonScreenshot of SAP Data Intelligence example ata quality dashboard