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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM DataStage

    Score8 out of 10
    N/AIBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, and the cloud-based DataStage for IBM Cloud Pak® for Data offers automated integration capabilities in a hybrid or multicloud environment.N/A

    SAP Master Data Governance

    Score8 out of 10
    N/ASAP Master Data Governance is a master data management solution that helps users to implement a cohesive and harmonized master data management strategy across all master data domains. It is presented as a solution that simplifies enterprise data management, increases data accuracy, and that facilitates consolidation, central governance and data quality management. The SAP Master Data Governance, cloud edition, a…N/A
    Pricing
    IBM DataStageSAP Master Data Governance
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM DataStageSAP Master Data Governance
    Free Trial
    YesYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM DataStageSAP Master Data Governance
    Considered Both Products
    IBM
    No answer on this topic
    SAP
    No answer on this topic
    Key User Insights
    Would buy again
    89%
    Would buy again
    8 Answers
    96%
    Would buy again
    69 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    5 Answers
    93%
    Delivers good value for the price
    53 Answers
    Happy with the feature set
    89%
    Happy with the feature set
    8 Answers
    93%
    Happy with the feature set
    67 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    7 Answers
    83%
    Lived up to sales and marketing promises
    34 Answers
    Implementation went as expected
    88%
    Implementation went as expected
    7 Answers
    83%
    Implementation went as expected
    48 Answers
    Features
    IBM DataStageSAP Master Data Governance
    Data Source Connection
    Comparison of Data Source Connection features of IBM DataStage and SAP Master Data Governance
    Feature
    IBM DataStage
    7.7
    11 Ratings
    8% below category average
    SAP Master Data Governance
    -
    Ratings
    Connect to traditional data sources7.911 Ratings00 Ratings
    Connecto to Big Data and NoSQL7.610 Ratings00 Ratings
    Data Transformations
    Comparison of Data Transformations features of IBM DataStage and SAP Master Data Governance
    Feature
    IBM DataStage
    7.6
    11 Ratings
    7% below category average
    SAP Master Data Governance
    -
    Ratings
    Simple transformations8.011 Ratings00 Ratings
    Complex transformations7.311 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of IBM DataStage and SAP Master Data Governance
    Feature
    IBM DataStage
    7.2
    11 Ratings
    10% below category average
    SAP Master Data Governance
    -
    Ratings
    Data model creation7.18 Ratings00 Ratings
    Metadata management5.010 Ratings00 Ratings
    Business rules and workflow7.410 Ratings00 Ratings
    Collaboration7.411 Ratings00 Ratings
    Testing and debugging6.711 Ratings00 Ratings
    Data Governance
    Comparison of Data Governance features of IBM DataStage and SAP Master Data Governance
    Feature
    IBM DataStage
    5.3
    10 Ratings
    42% below category average
    SAP Master Data Governance
    -
    Ratings
    Integration with data quality tools5.310 Ratings00 Ratings
    Integration with MDM tools5.310 Ratings00 Ratings
    Best Alternatives
    IBM DataStageSAP Master Data Governance
    Small Businesses
    Skyvia
    Score10 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score10 out of 10
    No answers on this topic
    Enterprises
    SolarWinds Task Factory
    Score8.3 out of 10
    Informatica MDM & 360 Applications
    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM DataStageSAP Master Data Governance
    Likelihood to Recommend
    5.9
    (11 ratings)
    8.0
    (79 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    7.4
    (3 ratings)
    Usability
    8.0
    (4 ratings)
    7.3
    (76 ratings)
    Performance
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.6
    (3 ratings)
    5.6
    (71 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    IBM DataStageSAP Master Data Governance
    Likelihood to Recommend
    IBM
    DataStage is somewhat outdated for an ETL. I guess that's what makes it a bit lagged behind its competitors. It can be used for data processing, sure, but its performance seems to be lagging behind or quite slow given the server it is running from. I won’t depend on this application if it's handling a lot of mission-critical banking and business data.
    Read full review
    SAP
    The best use case of SAP Master Data Governance is centrally consolidating your organizational data so you can make sense of it and make business decisions using that data. We live in a world where data can be all over the place, and making sense of it is a skill of its own.
    Incentivized
    Read full review
    Pros
    IBM
    • Connect to multiple types of data-sources including Oracle, Teradata, Snowflake, SQl Server.
    • Powerful tool to load large volumes of data.
    • Transformation stages allow us to reduce the amount of code needed to create ETL scripts.
    • Allow us to synchronize and refresh data as much as needed.
    Incentivized
    Read full review
    SAP
    • Data conversation and Data uploading into SAP S/4 HANA system using SAP Master Data Governance during SAP implementation phase.
    • Centrally Data governance to have visibility of data in different systems with integration to SAP Master Data Governance, including SAP S/4, SAP EWM and SAP Ariba.
    • Data Management and Data correction using MDM through SAP Master Data Governance for Materials, which is subjected to approval before finally using in the S/4.
    Incentivized
    Read full review
    Cons
    IBM
    • Technical support is a key area IBM should improve for this product. Sometimes our case is assigned to a support engineer and he has no idea of the product or services.
    • Provide custom reports for datastage jobs and performance such as job history reports, warning messages or error messages.
    • Make it fully compatible with Oracle and users can direct use of Oracle ODBC drivers instead of Data Direct driver. Same for SQL server.
    Incentivized
    Read full review
    SAP
    • We've had to design our own unique or alternative solutions to satisfy our business objectives because plugins don't always perform well with the main product.
    • It can be sluggish at times and lacks functionality offered by rival MDM packages, as well as limited resources and documentation for certain areas such as hierarchy.
    Incentivized
    Read full review
    Likelihood to Renew
    IBM
    No answers on this topic
    SAP
    MDG has proven to work and to bring results once implemented with the right approach, right engagement and sponsorship. Given that it is a very good tool to govern and control master data. Mainly if your company runs SAP systems which there will be a very straight forward integration, not needing any additional middleware or technologies.
    Incentivized
    Read full review
    Usability
    IBM
    Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.
    Incentivized
    Read full review
    SAP
    Upto 8 1. Powerful Features: It offers a wide range of powerful features. 2. Complex Data Management: It helps companies to comply with large and complex regulation and audit processes. Missing 2: 1. Less interactive user interface or less modern look. 2. Limited integration with other tools
    Incentivized
    Read full review
    Performance
    IBM
    It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.
    Incentivized
    Read full review
    SAP
    No answers on this topic
    Support Rating
    IBM
    IBM offers different levels of support but in my experience being and IBM shop helps to get direct support from more knowledgeable technicians from IBM. Not sure on the cost of having this kind of support, but I know there's also general support and community blogs and websites on the Internet make it easy to troubleshoot issues whenever there's need for that.
    Incentivized
    Read full review
    SAP
    SAP provides great support for Master Data Governance (MDG). They work with us when we are faced with issues in standard solutions. SAP has a great set of Fiori tools that can be used for a better user experience. The issue with SAP is their web dynpro UI screens and they need to provide better support for performance issues that customers face.
    Incentivized
    Read full review
    Implementation Rating
    IBM
    No answers on this topic
    SAP
    critical to get management on board earlier and prioritize the resources
    Incentivized
    Read full review
    Alternatives Considered
    IBM
    With effective capabilities and easy to manipulate the features and easy to produce accurate data analytics and the Cloud services Automation, this IBM platform is more reliable and easy to document management. The features on this platform are equipped with excellent big data management and easy to provide accurate data analytics.
    Incentivized
    Read full review
    SAP
    An environment provided by SAP Master Data Governance seamless and integration with other SAP products is very good. Also it ensures compatibility and streamlines procedures, this integration is beneficial for businesses who have already invested in SAP products.
    Incentivized
    Read full review
    Return on Investment
    IBM
    • It’s hard to say at this point, it delivers, but not quite as I expected. It takes a lot of resources to manage and sort this out (manpower, financial).
    • Definitely, I don’t have the exact numbers, but given the data it processes, it is A LOT. So props to the developer of this application.
    • Again, based on my experience, I’d choose other ETL apps if there is one that's more user-friendly.
    Read full review
    SAP
    • MDG is definitely an investment that takes a few years to recuperate. (If you are looking at pure, direct financial benefits.)
    • However, if you look at all the productivity gains in the business due to not having to stop the business constantly because of data issues, the payback period would be substantially shorter.
    • In particular, we were able to reduce master data maintenance staffing levels while increasing quality and decreasing workload for business requesters and approvers.
    • Not having to worry about data integrity issues has shortened the time to realize benefits for several of our major process change related projects and it has also decreased the risk of these projects running into significant delays (often at the last minute) due to master data being misjudged during the process resdesign.
    Incentivized
    Read full review
    ScreenShots

    SAP Master Data Governance Screenshots

    Screenshot of Data consolidation:  An integrated database of customer, supplier, and product information calls for a consumer-grade user experience and an intuitive, flexible process.Screenshot of Central data governance: The inbox in support of data governance workflows.  By centralizing your heterogeneous systems into a single source, you can create, maintain, and distribute master data across your enterprise.Screenshot of Mass processing: Master data stewards can perform bulk changes in business partner, customer, supplier, and product data with highly-effective mass change processes.Screenshot of Data quality management: Business rules that are defined, validated, and monitored help safeguard master data
readiness and ensure that it’s fit for use.Screenshot of Process analytics: Data governance is significantly enhanced when master data is continuously measured and monitored.