On-The-Fly Test Data Allocation

Allocate data as tests run.

Test data preparation as a standard step within automated testing. Automatically find and make data for every possible test, testing continuously and in parallel.

Test-Driven Allocation assigns exact data combinations to tests, facilitating stable execution and avoiding test failures.

Data Provisioning is included as standard step in either test case generation or test execution, pushing data to test management tools and automation frameworks.

Data Finds hunt rapidly for integrated data sets from across back-end databases, via APIs, and via front-end applications. Test Data Automation additionally parses reports.

Data Makes generate missing data needed for optimal test coverage, creating data into databases, via APIs, or via the front-end.

Parallel Provisioning prepares isolated data sets on demand. Testers can lock data to avoid data cannibalisation and cross-team constraints.

Data Validation checks data against tests as they are executed, re-allocating and generating new combinations. Test data is valid and up-to-date test data.

Discover Test Data-as-a-Service

Read our solution brief to learn how you can transform the relationship that your teams and frameworks share with data, shifting from slow and manual data "provisioning" to streaming rich test data in real-time.

Eradicate test data bottlenecks and avoid automated test failures

Automating test data allocation avoids the bottlenecks caused by data provisioning, invalid test data, and cross-team constraints.

With traditional test data management:	Automated test data allocation provides:
Test data creates avoidable bottlenecks: Testers waste time waiting for data to be provisioned, or hunt for exact data combinations among large copies of out-of-date production data.	Complete test data, available on demand: Automated test data preparation finds or makes data for every test. This is a standard step in either test generation or automated test execution.
Invalid test data destabilises testing: End-to-end testing requires complex data sets that spans different systems. Invalid and out-of-date test data destabilises test automation frameworks and creates test failures.	Up-to-date data, found “just in time”: Data is found or made “just in time” as tests run. Test Data Automation hunts across multiple databases, as well as via APIs and front-end applications. Provisioning sources consistent data for integrated tests.
Test data leaves systems exposed to costly defects: Production data sources contains just a fraction of the data needed for sufficient test coverage. Creating complex data for test negative scenarios and unexpected scenarios is too slow and complex. Much of a system is simply left untested.	Rich test data to execute every possible test: Test data allocation is based on the exact criteria of each test scenario contained in a test run. Where no existing data is available, Test Data Automation automatically generates new data directly into back-end databases, or via APIs and the front-end.
Cross-team constraints undermine testing agility: A central team cannot copy data sets quickly enough for parallel testing. Testers wait idly for another team to finish with data, while other testers delete or edit rare and useful combinations of data.	Parallel and on demand access to complete data: Test Data Automation allocates isolated data sets to test management tools and automation frameworks. Testers can lock and reserve data, preserving data during a refresh and preventing data cannibalisation.
Slow data refreshes create frustrating rework: Data combinations are lost during data refreshes, and other combinations are edited. Test data no longer matches test cases and must be manually re-matched to avoid test failures.	Valid test data, updated automatically before tests run: Validation checks data matches before tests run. Test Data Automation allocates and creates new to guarantee that data reflects test criteria exactly. Test execution is stable and accurate

With traditional test data management:

Automated test data allocation provides:

Test data creates avoidable bottlenecks:

Testers waste time waiting for data to be provisioned, or hunt for exact data combinations among large copies of out-of-date production data.

Complete test data, available on demand:

Automated test data preparation finds or makes data for every test. This is a standard step in either test generation or automated test execution.

Invalid test data destabilises testing:

End-to-end testing requires complex data sets that spans different systems. Invalid and out-of-date test data destabilises test automation frameworks and creates test failures.

Up-to-date data, found “just in time”:

Data is found or made “just in time” as tests run. Test Data Automation hunts across multiple databases, as well as via APIs and front-end applications. Provisioning sources consistent data for integrated tests.

Test data leaves systems exposed to costly defects:

Production data sources contains just a fraction of the data needed for sufficient test coverage. Creating complex data for test negative scenarios and unexpected scenarios is too slow and complex. Much of a system is simply left untested.

Rich test data to execute every possible test:

Test data allocation is based on the exact criteria of each test scenario contained in a test run. Where no existing data is available, Test Data Automation automatically generates new data directly into back-end databases, or via APIs and the front-end.

Cross-team constraints undermine testing agility:

A central team cannot copy data sets quickly enough for parallel testing. Testers wait idly for another team to finish with data, while other testers delete or edit rare and useful combinations of data.

Parallel and on demand access to complete data:

Test Data Automation allocates isolated data sets to test management tools and automation frameworks. Testers can lock and reserve data, preserving data during a refresh and preventing data cannibalisation.

Slow data refreshes create frustrating rework:

Data combinations are lost during data refreshes, and other combinations are edited. Test data no longer matches test cases and must be manually re-matched to avoid test failures.

Valid test data, updated automatically before tests run:

Validation checks data matches before tests run. Test Data Automation allocates and creates new to guarantee that data reflects test criteria exactly. Test execution is stable and accurate

Rapid, performing automated data queries as a part of standard test execution. Testers no longer spend time finding and making data.

Parallelized, provisioning isolated data sets on demand and without the delays associated with cross-team constraints.

Test-Driven, finding and making data to match every test scenario, for rigorous testing even within short iterations.

Reliable, validating and updating data automatically during each test run. This guarantees stable and accurate test execution.

Built for complex systems, finding and making consistent data sets for cross-system end-to-end test execution.

Simple and intuitive, with easy-to-use configurations, you can create re-usable test data jobs in minutes.

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On-The-Fly Test Data Allocation

Allocate data as tests run.

The right test data, exactly when and where testers need it

Test Data Automation embeds a complete set of TDM utilities within automated test generation and execution.

Discover Test Data-as-a-Service

Eradicate test data bottlenecks and avoid automated test failures

Continuous test execution

Test data allocation with Test Data Automation is:

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