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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Oracle Warehouse Builder

    Score8.7 out of 10
    N/AOracle Warehouse Builder (OWB) is a data-warehousing centered data integration solution, from Oracle. It offers basic ETL functionality for building a simple data warehouse, as well as advanced ETL functionality supporting enterprise data integration projects, along with connectivity for Oracle and SAP applications.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 Warehouse BuilderSAP Data Intelligence
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Oracle Warehouse BuilderSAP 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 Warehouse BuilderSAP Data Intelligence
    Considered Both Products
    Oracle
    No answer on this topic
    SAP
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    98%
    Would buy again
    51 Answers
    Delivers good value for the price
    No answers on this topic
    90%
    Delivers good value for the price
    36 Answers
    Happy with the feature set
    No answers on this topic
    98%
    Happy with the feature set
    52 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    88%
    Lived up to sales and marketing promises
    28 Answers
    Implementation went as expected
    No answers on this topic
    86%
    Implementation went as expected
    32 Answers
    Features
    Oracle Warehouse BuilderSAP Data Intelligence
    Data Source Connection
    Comparison of Data Source Connection features of Oracle Warehouse Builder and SAP Data Intelligence
    Feature
    Oracle Warehouse Builder
    9.5
    5 Ratings
    13% above category average
    SAP Data Intelligence
    -
    Ratings
    Connect to traditional data sources10.05 Ratings00 Ratings
    Connecto to Big Data and NoSQL9.02 Ratings00 Ratings
    Data Transformations
    Comparison of Data Transformations features of Oracle Warehouse Builder and SAP Data Intelligence
    Feature
    Oracle Warehouse Builder
    10.0
    5 Ratings
    21% above category average
    SAP Data Intelligence
    -
    Ratings
    Simple transformations10.05 Ratings00 Ratings
    Complex transformations10.04 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of Oracle Warehouse Builder and SAP Data Intelligence
    Feature
    Oracle Warehouse Builder
    8.2
    5 Ratings
    3% above category average
    SAP Data Intelligence
    -
    Ratings
    Data model creation10.04 Ratings00 Ratings
    Metadata management6.04 Ratings00 Ratings
    Business rules and workflow9.04 Ratings00 Ratings
    Collaboration8.94 Ratings00 Ratings
    Testing and debugging7.04 Ratings00 Ratings
    Data Governance
    Comparison of Data Governance features of Oracle Warehouse Builder and SAP Data Intelligence
    Feature
    Oracle Warehouse Builder
    8.0
    3 Ratings
    1% below category average
    SAP Data Intelligence
    -
    Ratings
    Integration with data quality tools8.03 Ratings00 Ratings
    Integration with MDM tools8.02 Ratings00 Ratings
    Best Alternatives
    Oracle Warehouse BuilderSAP Data Intelligence
    Small Businesses
    Skyvia
    Score10 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score10 out of 10
    SAP Datasphere
    Score8.6 out of 10
    Enterprises
    SolarWinds Task Factory
    Score8.3 out of 10
    Talend Data Fabric
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Oracle Warehouse BuilderSAP Data Intelligence
    Likelihood to Recommend
    8.0
    (5 ratings)
    8.1
    (55 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.2
    (2 ratings)
    Usability
    -
    (0 ratings)
    8.2
    (50 ratings)
    Support Rating
    -
    (0 ratings)
    7.0
    (47 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 Warehouse BuilderSAP Data Intelligence
    Likelihood to Recommend
    Oracle
    The best place for Oracle Warehouse Builder is at the business IT level. It's not suited for business-level users. They are easy confused. One way to reduce the confusion for the developers is to set up the workspaces based on the requirements that are discovered in design sessions. Once this is complete, the implementation of Oracle Warehouse Builder can take flight and be successful.
    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
    Read full review
    Pros
    Oracle
    • Easy transformation.
    • Easy implementation from Oracle to Oracle systems.
    • Ease of usage and easy to learn.
    • Starting component of metadata management.
    Incentivized
    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
    • What I noticed is that sometimes OWB doesn't generate the best SQL in the package especially when there are a high number of source tables in the ETL. It would be nice if ETL developers were allowed to update the generated packages in the database directly.
    • Another thing - moving OWB ETLs from one database to another one could be easier - for example it would be nice to just copy the generated packages from one database to the other one without doing the deployment of these ETLs through OWB.
    Incentivized
    Read full review
    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
    Read full review
    Likelihood to Renew
    Oracle
    No answers on this topic
    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
    Read full review
    Alternatives Considered
    Oracle
    Ab>initio, IBM Datastage 8.0
    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
    • It improved understanding of ETL functions. Data is consistent. The speed is pretty good.
    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