Datamaker™ - powerful synthetic data generation, data masking and database subsetting
"Can you create test data? Can you populate it into a database? Can you do it at a reasonable price point? Grid-Tools have proven they can do all of this. In truth, I would be surprised how anyone launching a big system could do without a tool like this. It really is a mandatory thing to do."
Applied Card Technologies
Provision high quality test data for your non-production environments
Datamaker™ is a complete test data management suite for the provisioning of high-quality, compliant test data that is 'fit for purpose'. In addition to achieving compliance through its powerful, stand-alone data masking and subsetting components, Datamaker™ allows users to create 'fit for purpose', 'synthetic' test data. 'Synthetic' test data can be created with all the characteristics of production data, but with no trace of the original, making it even more secure than masked data. 'Synthetic' test data also maximises the code coverage, variation and volume of your data without the need to store bulky copies of production data. The result: a more efficient, more compliant, higher quality development.
At a glance
Datamaker™ is a powerful tool for creation of high quality test data that is:
- Representative
- Structured
- Covers all test cases
- Diverse
- Maintains business and referential integrity
- Malleable
- Fit for purpose
Datamaker™ is a component-based solution, allowing flexibility in choosing the right test data management methods to suit company strategy and objectives. By using Datamaker™, companies can achieve:
- Better quality of testing
- Reduction of testing time resulting in cost efficiency
- Increased testing efficiency
- Simulation of real and anticipated critical business cases
- Accelerated deployment of applications
Why Datamaker™?
In recent years, companies have become increasingly aware that, when provisioning data for testing and development, achieving regulatory compliance is non-negotiable. This is largely because of the high potential financial and commercial risks posed by using 'live' data in non-production. However, far less attention is given to the potential costs of provisioning the poor quality, inadequate data. Without the 'right' kind of test data, testing and development projects run the risk of expensive overruns, as inefficient test cycles delay the delivery of meaningful, usable test data downstream. With Datamaker™, high-quality, 'fit for purpose' test data can be supplied more quickly throughout a project, meaning faster, better development and a project delivered on time, on budget and on scope.
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