Why go with DATPROF vs Oracle

This comparison page is developed to give you an insight in when you should consider using DATPROF over Oracle to build a test data management solution. Every vendor has its pros and cons and it’s important to evaluate these.

The most important driver between the differences of DATPROF and Oracle is what both companies try to achieve.

DATPROF’s mission is to make test data management easy and accessible: “The right test data in the right place at the right time.”

Parts of test data management is data masking and data subsetting. And we also know that the goals of the organizations behind competitive products are in most cases not centered upon test data management.

DATPROF focuses on solutions for testers and developers. We build our products to give these people the right and secure test data whenever they need it, so they can innovate faster and ship their products with more quality.

Top reasons why companies use DATPROF vs Oracle

#1 Speed

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Experience shows us that we are able to execute masking and subsetting projects twice as fast as Oracle products can.

#2 License

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Oracle products can only be executed in the Enterprise edition, while DATPROF products can be executed in all Oracle Databases.

#3 Maintenance

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DATPROF Software is built for ease of use. It is possible to maintain DATPROF templates within a few clicks and prepare all future releases for your test data requirements.

#4 Automation

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With DATPROF Software it is possible to automate and integrate test data with other Software Quality products or your CI/CD pipeline.

Supported Oracle applications

Oracel JD Edwards integration DATPROF
Oracel E Businiess Suite Integration Test Data DATPROF
Oracle Siebel integration Test Data DATPROF
Oracle peoplesoft integration test data DATPROF

and more…


“7 tips for choosing the right TDM tool”

The fact that you are looking for a TDM solution is great in itself. High quality test data management can help you save a lot of time and money. However, it can be difficult to choose the right tool.

Here is a comparison paper with 7 tips for choosing the right test data tool to help you make the right decision.

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Data Masking


Data Automation


Data Discovery