Informatica PowerCenter (legacy) vs. SAP Master Data Governance

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Informatica PowerCenter (legacy)
Score 9.2 out of 10
N/A
Informatica PowerCenter was data integration technology designed to form the foundation for data integration initiatives, application migration, or analytics. It is a legacy product.N/A
SAP Master Data Governance
Score 8.3 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
Informatica PowerCenter (legacy)SAP Master Data Governance
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica PowerCenter (legacy)SAP 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
Informatica PowerCenter (legacy)SAP Master Data Governance
Features
Informatica PowerCenter (legacy)SAP Master Data Governance
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Informatica PowerCenter (legacy)
8.5
18 Ratings
3% above category average
SAP Master Data Governance
-
Ratings
Connect to traditional data sources9.018 Ratings00 Ratings
Connecto to Big Data and NoSQL8.014 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Informatica PowerCenter (legacy)
7.5
18 Ratings
8% below category average
SAP Master Data Governance
-
Ratings
Simple transformations8.018 Ratings00 Ratings
Complex transformations7.018 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Informatica PowerCenter (legacy)
8.2
18 Ratings
4% above category average
SAP Master Data Governance
-
Ratings
Data model creation9.015 Ratings00 Ratings
Metadata management8.016 Ratings00 Ratings
Business rules and workflow9.018 Ratings00 Ratings
Collaboration6.116 Ratings00 Ratings
Testing and debugging9.017 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Informatica PowerCenter (legacy)
9.0
15 Ratings
12% above category average
SAP Master Data Governance
-
Ratings
Integration with data quality tools9.015 Ratings00 Ratings
Integration with MDM tools9.013 Ratings00 Ratings
Best Alternatives
Informatica PowerCenter (legacy)SAP Master Data Governance
Small Businesses
Skyvia
Skyvia
Score 10.0 out of 10

No answers on this topic

Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Informatica Customer 360 for Salesforce
Informatica Customer 360 for Salesforce
Score 8.1 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Winshuttle
Winshuttle
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Informatica PowerCenter (legacy)SAP Master Data Governance
Likelihood to Recommend
8.0
(21 ratings)
8.0
(79 ratings)
Likelihood to Renew
10.0
(4 ratings)
7.4
(3 ratings)
Usability
9.0
(3 ratings)
7.4
(76 ratings)
Performance
9.4
(2 ratings)
-
(0 ratings)
Support Rating
9.0
(2 ratings)
5.7
(71 ratings)
Implementation Rating
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Informatica PowerCenter (legacy)SAP Master Data Governance
Likelihood to Recommend
Discontinued Products
1.- Scenaries with poor sources of data is not recomended (Very bad ROI). The solution is for medium-big enterprises with a lot of sources of data and users. 2.- Bank and finance enviroment to integrate differente data form trading, Regulatory reports, decisions makers, fraud and financial crimes because in this kind of scenary the quality of data is the base of the business. 3.- Departments of development and test of applications in enterprises because you can design enviroments, out of the production systems, to development and test the new API's or updateds made.
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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.
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Pros
Discontinued Products
  • Informatica Powercenter is an innovative software that works with ETL-type data integration. Connectivity to almost all the database systems.
  • Great documentation and customer support.
  • It has a various solution to address data quality issues. data masking, data virtualization. It has various supporting tools or MDM, IDQ, Analyst, BigData which can be used to analyze data and correct it.
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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.
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Cons
Discontinued Products
  • There are too many ways to perform the same or similar functions which in turn makes it challenging to trace what a workflow is doing and at which point (ex. sessions can be designed as static or re-usable and the override can occur at the session or workflow, or both which can be counter productive and confusing when troubleshooting).
  • The power in structured design is a double edged sword. Simple tasks for a POC can become cumbersome. Ex. if you want to move some data to test a process, you first have to create your sources by importing them which means an ODBC connection or similar will need to be configured, you in turn have to develop your targets and all of the essential building blocks before being able to begin actual development. While I am on sources and targets, I think of a table definition as just that and find it counter intuitive to have to design a table as both a source and target and manage them as different objects. It would be more intuitive to have a table definition and its source/target properties defined by where you drag and drop it in the mapping.
  • There are no checkpoints or data viewer type functions without designing an entire mapping and workflow. If you would like to simply run a job up to a point and check the throughput, an entire mapping needs to be completed and you would workaround this by creating a flat file target.
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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.
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Likelihood to Renew
Discontinued Products
Our team enjoys using Informatica and feels that it is one of the best ETL tools on the market.
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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
Discontinued Products
Positives; - Multi User Development Environment - Speed of transformation - Seamless integration between other Informatica products. Negatives; - There should be less windows to maintain developers' focus while using. You probably need 2 big monitors when you start development with Informatica Power Center. - Oracle Analytical functions should be natively used. - E-LT support as well as ETL support.
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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
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Performance
Discontinued Products
PowerCenter is robust and fast, and it does a great job meeting all the needs, not just the most commercially vocal needs. In the hands of an expert power user, you can accomplish almost anything with your data. It is not for new users or intermittent users-- for that the Cloud version is a better fit. Be prepared for costly connectors (priced differently for each source or destination you are working with), and just be planful of your projects so you are not paying for connectors you no longer need or want
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SAP
No answers on this topic
Support Rating
Discontinued Products
Informatica power center is a leader of the pack of ETL tools and has some great abilities that make it stand out from other ETL tools. It has been a great partner to its clients over a long time so it's definitely dependable. With all the great things about Informatica, it has a bit of tech burden that should be addressed to make it more nimble, reduce the learning curve for new developers, provide better connectivity with visualization tools.
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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.
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Implementation Rating
Discontinued Products
No answers on this topic
SAP
critical to get management on board earlier and prioritize the resources
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Alternatives Considered
Discontinued Products
While Talend offers a much more comfortable interface to work with, Informatica's forte is performance. And on that front, Informatica Enterprise Data Integration certainly leaves Talend in the dust. For a more back-end-centric use case, Informatica is certainly the ETL tool of choice. On the other hand, if business users would be using the tool, then Talend would be the preferred tool.
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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
Discontinued Products
  • The data pipeline automation capability of Informatica means that few resources are needed to pre-process the data that ultimately resides in a Data Warehouse. Once a workflow is implemented, manual intervention is not needed.
  • PowerCenter did require more resources and time for installation and configuration than was expected/planned for.
  • The lack of or minimal support of unstructured data means that newer sources of dynamic/changing data cannot be easily processed/transformed through PowerCenter workflows.
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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.
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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.