IBM Cloud Pak for Data vs. SAP Master Data Governance

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Cloud Pak for Data
Score 8.9 out of 10
N/A
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.N/A
SAP Master Data Governance
Score 7.9 out of 10
N/A
SAP 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 Cloud Pak for DataSAP Master Data Governance
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Cloud Pak for DataSAP Master Data Governance
Free Trial
NoYes
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 Cloud Pak for DataSAP Master Data Governance
Top Pros
Top Cons
Best Alternatives
IBM Cloud Pak for DataSAP Master Data Governance
Small Businesses
Egnyte
Egnyte
Score 7.6 out of 10

No answers on this topic

Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Informatica Customer 360 for Salesforce
Informatica Customer 360 for Salesforce
Score 7.9 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Winshuttle
Winshuttle
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM Cloud Pak for DataSAP Master Data Governance
Likelihood to Recommend
9.1
(13 ratings)
7.8
(73 ratings)
Likelihood to Renew
9.1
(2 ratings)
7.8
(3 ratings)
Usability
-
(0 ratings)
7.6
(70 ratings)
Support Rating
-
(0 ratings)
7.1
(66 ratings)
Implementation Rating
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
IBM Cloud Pak for DataSAP Master Data Governance
Likelihood to Recommend
IBM
IBM Cloud Pak for Data with Netezza is well suited for clients who require fast, economical analytics processing. It is not designed to be used as a transactional processing environment. For example, a large customer is using it during the point of sale process. That makes little sense in that business case. However, to take analysis to market faster, it excels well in that space.
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SAP
Best Suitable: 1. Good for us as we're bigger organization. 2. Places were high quality data & Compliance mandates. 3. Complex data management projects 4. To have better workflow in a place Less suitable: 1. For small to medium size organization. 2. For short duration projects/ requirements. 3. Non-SAP environments or limited ITIS team members 4. Also, to handle simple data structure
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Pros
IBM
  • I really like the AI and ML which enables us to source data in different sources for easy data-driven decisions.
  • It's a cloud tool that keeps all our data safe, backed up ahs obtainable at any time without being exposed to any kind of risks or loss.
  • I like the fact that ICP is main based on open source stack which adds value to products like VA or MCM.
  • IBM support service is great and top-class.
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SAP
  • I like being able to create our own tables that aren't specified by the application; arranging data utilizing data spaces is a dream come true.
  • Using semantic data space instances with workflows improves performance significantly; firms with several domains may use the same application with numerous data spaces for master data management.
  • SAP (MDG) remains unique in the flexibility to model and manage master data the way it is used in the company, with all capabilities easily available through an intuitive user interface, and is not bound by the vendor's mandated data models.
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Cons
IBM
  • This offering is currently available on prem, in Azure, and soon in AWS. GCP availability will be in the future as there is demand in the marketplace
  • The on premise offering starts with a Base + 0 model, which is a significant appliance. There are no 'mini' offerings as there were in the past.
  • At Destiny, we work closely with IBM to help our clients perform budgetary planning.
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SAP
  • As with all powerful and complex information platforms, SAP MDG does have a learning curve to it, especially if you plan on doing advanced things such as implementing MDM automation.
  • SAP MDG is capable of replicating data across many platforms (including non-SAP) however, this too, has a learning curve to it and will require some work. Bottom line...it doesn't just happen out of the box!
  • SAP MDG's flexibility can also be a weakness as sometimes you just want to implement a standard governance flow without defining everything from scratch. We have found that usually, you will need to define each workflow yourself in order for it to work properly.
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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.
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Usability
IBM
No answers on this topic
SAP
SAP Master Data Governance(MDG) provides ease of use for the end users i.e. master data experts. It provides a good UI that is not SAP GUI. SAP provides support for any standard issues that we face. Their new set of Fiori tools helps us get more bang for our buck.
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Support Rating
IBM
No answers on this topic
SAP
I haven't been using the support services individually. Instead, there are responsible units within the institution who train and support the users of the software in the institution. The service provided by these units are quite adequate and they probably get the service from SAP itself. That's why, I can assume that the support services are quite successful.
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Implementation Rating
IBM
No answers on this topic
SAP
critical to get management on board earlier and prioritize the resources
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Alternatives Considered
IBM
Generally this tool has been very helpful and innovative because increase our workflow and collaboration using integrated multi-cloud platform. It also enables us to deploy in any flexible way like on-premises or cloud which saves time and hard disk space. It also enables us to connect, catalog, govern, transform and analyze data regardless of the area.
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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.
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Return on Investment
IBM
  • IBM Cloud helps us to manage data speed across every distributed stores and clouds.
  • Acts as a single unified tool which brings all our data in one place where it's safe and easy to access.
  • Enables all of our data users to collaborate from a single, unified interface that supports many services that are designed to work seamless.
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SAP
  • In this digital era , internet generating huge data ( master data and transactional data with pics and videos) if not managed with MDG product, ERP would become Junk data which results in expensive affair to" maintain, archive and manage disaster recovery "
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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.