Why choose the Datamaker™ test data management solution?

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"After three months of manually attempting to create the data we needed, I cannot begin to explain how important this tool has been for the success of this project. I mean, thank God we had the Datamaker tool! I don’t know what we would have done without it. It is inconceivable to even consider it. Now everyone, all of the developers on our team, they are all pleased with how simple the process is. We no longer struggle and we no longer worry about using bad data. Any data can be created that we need."

Large financial services organization

What differentiates Datamaker™ from other test data management solutions?

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Grid-Tools Datamaker™ is a dynamic test data management solution, offering end-to-end data management, data security, data quality and coverage techniques.

Datamaker™ is the only tool in the marketplace offering all of the functionality below in one complete package. Any work done in one component can be reused in another. Using our methods alone or in combination depending on your project requirements offers ingenious flexibility and efficiency.

"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

See for yourself why our tool has unmatched functionality and is chosen time and again above other vendors!

    Central test data repository
  • The only solution which allows accessibility, a central location for data storage and manipulation of test data across the enterprise. The test data warehouse contains reusable, ideal test data sets.
  • Version control
  • Get easy management of test data sets through future releases - create a test set for release 11 and use that set in release 12
  • High performance
  • Datamaker™ has the fastest creation, subsetting and masking speeds for Oracle and SQL Server through sophisticated shrinking and compression techniques
  • Control variables
  • Test data can be published using changeable control variables like Clearing date; Posting Date; Currency and Type. All variables can be manipulated at publish time using data templates (or data objects). Create standard transactions containing multiple tables and rows with built-in business integrity. Create a standard Banks transfer transaction and use this in conjunction with other transactions types to create rich test sets of data.
  • Data inheritance
  • Datamaker™ allows you to inherit rather than copy existing test data sets - if the underlying data changes the change will ripple up to the child data sets
  • All-pairs
  • Bulk-up and explode your transactional data for performance testing and quickly and easily build millions and millions of rows
  • Data manipulation
  • Strong control over data date ranges using pivot dates and times - Datamaker™ contains a rich range of data manipulation functions - populate a column with a random date range up to 3 days after the posting date
  • Data visualization
  • With a powerful data visualization engine built into the tool, Datamaker™ offers the ability to quickly show you graphically where there are gaps in your test data.  The data visualizations allow you to improve data coverage using data design, and to quickly see the effect of the created data on your testing databases. Use data visualization when creating data to ensure all scenarios are covered.
  • Data trends
  • The solution also offers a powerful trend generator that allows you to build complex data variations into your test data. Using trends you can test modeling routines and ‘non-deterministic’ algorithms. Instead of being forced to use real data, which may not have the subtle variations you need to detect, you can generate any trend you like to ensure your testing is of the highest quality. Typical systems that can benefit from trend generation are, for example; stock reordering systems, econometric predictive systems and systems which rely on identifying data changes over time.
  • Database subsetting
  • The ability to extract subsets or data slices from production sources so that development and non-production environments contain less data, but business intact sets of data
  • Data quality
  • Manage data quality and cohesiveness - the integrity of data can be checked during the development life cycle
  • Data masking
  • Treat sensitive data in accordance with industry regulations like HIPAA the PCI DSS, GLBA and the DPA
  • Data coverage
  • Requirements based testing using Data Design™
  • SOA Testing
  • Direct interface to SOA testing tools storing, comparing actual and expected results and storing and simulating SOA requests allowing WSDL's to be frozen
  • Flat files
  • The ability to build complex flat files - Datamaker™ can also do comparison between different formats of test data between source and target of different types (i.e. flat file, Oracle, Teradata)
  • Mainframe
  • Full mainframe and open system source support
  • Cross platform support
  • Unrivalled cross platform support and versatility for data, database types and data sources
  • Easy to use
  • Datamaker™ is incredibly easy to use - it only takes 4 hours to gain fundamental knowledge of the tool
  • Cost effective
  • Rapid ROI and competitive pricing - reduce test cycles by a 1/3, save on storage costs and use the most secure solution for data compliance
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