Self-Service
Parallel teams enjoy unconstrained access to unique data sets, using a catalogue of test data to prepare the accurate data as they need it.
Test Data Automation shifts the test data paradigm from slow and manual “provisioning”, to streaming rich data in real-time. Parallel teams and frameworks enjoy all the data they need on-the-fly:
Move beyond the logistics of copying data.
Parallel teams enjoy unconstrained access to unique data sets, using a catalogue of test data to prepare the accurate data as they need it.
Automatically find and make accurate data for each and every test. “On the fly” data preparation ensures that data is valid and up-to-date.
Reliable data masking and realistic synthetic data generation avoid the use of PII in testing, mitigating the risk of damaging and costly data breaches.
Parallel test and development teams enjoy on demand access to rich data sets, delivering rigorously tested software in short iterations.
TDA provides on tap access to the data needed to achieve maximum test, detecting defects earlier, where they require less time and cost to fix.
End-to-end Test Data Automation embeds multi-step data preparation seamlessly within automated test execution and CI/CD pipelines.
Whether you’re a tester, developer, framework or machine!
Test Data Automation accelerates the delivery of valuable software, providing rich, compliant and affordable data at real-time speeds.
Make data available in real-time to increase overall agility and release velocity.
Test with richer test data to find bugs earlier and at less cost to fix.
Test with a combination of masked and rich, synthetically generated data.
Virtualise and containerise data as it’s made available in parallel and on demand.
Test Data Automation provides data of the complexity, variety and volume demanded by a world of Enterprise DevOps, rapid development, and CI/CD. Test Data Automation is built for:
Developments requires consistent data journeys that link across systems ranging from mainframe components, to Kafka queues and microservices.
Data-hungry frameworks tear through data faster than ever, demanding continuous refreshes and fast-changing combinations in parallel.
Up-to-date data is needed at the pace of rapid system change, and there is no time for manual data provisioning in CI/CD or short release cycles.
Each require continuous access to test data throughout a sprint, without the bottlenecks or test failures caused by data clashes or constraints.
Integrating test data masking with synthetic data generation reduce testing’s dependency on potentially sensitive production data copies.
New tools, “big data” systems and ever-faster processing power call for cost-effective alternatives to making physical copies of production data.