Optimize your test data management environments with intelligent solutions

Grid-Tools solutions focus on control, flexibility and usability

Many IT organizations are making every effort possible to handle explosive data growth successfully. However, managing data growth is not simply limited to production systems. In order to successfully deploy new applications, IT organizations must go about their testing in non-production environments using data which is representative of their live systems. Enter Grid-Tools Ltd, the most recognized test data management tools and solutions vendor internationally.

It is no secret that most IT organizations make direct copies of their production systems for non-production. This inefficient (and expensive) process lacks focus and increases test cycles immeasurably. As production databases slowly grow, the longer it will take to make a complete system copy. As a result, your test team struggles, you come across compliance challenges, your hardware costs rise and the overall quality of your testing (and test data) remains poor.

How can you shrink the footprint of non-production systems to curb spending, improve your overall test data quality and ensure your data is secure and compliant? Grid-Tools can help.

Grid-Tools offer end-to-end test data management solutions which are flexible, easy-to-use and fast. Our test data management suite offers products for all phases of test cycles and varying projects. You simply will not find another solution like it. From creating test data from scratch to data obfuscation, Grid-Tools come full circle with test data management techniques.

"The uniqueness of Datamaker is that the tool is not only capable of data masking and database subsetting, but it generates test data and manages and controls what is in the test environment. It even goes a step further and actually helps to improve test processes through complete, end-to-end test data management."

Edwin van Vliet, Test Data Manager for large Dutch Bank, Yacht Consultancy

test data management diagram

Create synthetic data, de-identify records, enhance your test data ... and more

  • Create smaller, targeted, referentially intact versions of databases for testing and development
  • Secure your sensitive data records using data de-identification methods
  • Create high-quality test data from scratch
  • Check data quality and validate data in databases
  • Connect to a data repository and inherit old test cases, saving time and money
  • Enrich your test data with data manipulation, data trends, version control and data bulking
  • Use data visualization to quickly show graphically where the gaps are in your test data
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