Compare ETL Solutions Transformation Manager vs. Informatica PowerCenter

ETL Solutions Transformation Manager is ranked 47th in Data Integration Tools while Informatica PowerCenter is ranked 2nd in Data Integration Tools with 14 reviews. ETL Solutions Transformation Manager is rated 0, while Informatica PowerCenter is rated 7.8. On the other hand, the top reviewer of Informatica PowerCenter writes "Assists us with integration as we migrate from on-premise to cloud, but it needs a performance analyzer". ETL Solutions Transformation Manager is most compared with webMethods Integration Server, Axway AMPLIFY Application Integration and Palantir Gotham, whereas Informatica PowerCenter is most compared with SSIS, Informatica Cloud Data Integration and Oracle Data Integrator (ODI).
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Most Helpful Review
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Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration Tools. Updated: November 2019.
382,547 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pricing and Cost Advice
Information Not Available
Price-wise, it's more expensive than SSIS, but it's a better tool, so it has more features. Licensing is on a yearly basis.Licensing is a one time cost. But maintenance costs depend on what you want, how long you need it. Maintenance is a kind of insurance. With health insurance, you don't know whether you will get sick or need to go to hospital or not but you have to have insurance. It's the same thing with support. If you have that expertise in resolving issues, if you have enough experience in your IT department, I would say you don't need the support. But in practice, they recommend you go with the support. If you want support you have to pay for it.Cost could be improved.

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382,547 professionals have used our research since 2012.
Ranking
47th
Views
757
Comparisons
692
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
2nd
Views
38,056
Comparisons
30,370
Reviews
11
Average Words per Review
361
Avg. Rating
7.8
Top Comparisons
Compared 25% of the time.
Also Known As
Transformation ManagerPowerCenter
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ETL Solutions
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Informatica
Overview
Transformation Manager is an integrated development toolkit that is used to build data migration and data integration solutions more efficiently. A metadata-driven code generator, Transformation Manager provides users with the ability to generate lightweight, easy-to-deploy code. It combines a Graphical User Interface with a statement-driven mapping language. The Transformation Manager software derives metadata from the elements, attributes and relationships in a source and target model. Transformation Manager then uses rules specified by Simple Mapping Language (SML), which is specifically designed for implementing data transformation projects, to generate code written in Java.

Enterprise data integration platform to help organizations access, transform, and integrate data from a variety of systems.

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Learn more about Informatica PowerCenter
Sample Customers
Honda, BNP Paribas, RBS, JPMorgan, Volkswagen, Thorn Lighting, OpenSpirit, Rolls-Royce, Ulster BankUniversity of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Top Industries
No Data Available
REVIEWERS
Comms Service Provider14%
Healthcare Company14%
Financial Services Firm14%
Energy/Utilities Company14%
VISITORS READING REVIEWS
Software R&D Company37%
Comms Service Provider13%
Financial Services Firm9%
Insurance Company7%
Company Size
No Data Available
REVIEWERS
Small Business20%
Midsize Enterprise13%
Large Enterprise67%
VISITORS READING REVIEWS
Small Business15%
Midsize Enterprise15%
Large Enterprise70%
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration Tools. Updated: November 2019.
382,547 professionals have used our research since 2012.
We monitor all Data Integration Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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