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Closing the gap between testing and DevOps
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Automated test data provisioning
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Generate production-like PostgreSQL databases with AI
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Populate non-production environments with test data
Improve ML Model Performance
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Automate SQL Server test data provisioning
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Product
DAta provisioning
ML/AI libraries
Pricing
Databases
DB2
MySQL
Oracle
PostgreSQL
SQL Server
All supported databases
Developers
Docs
Tutorials
Developer hub
GitHub
Solutions
Synthesized for Avaloq
Synthesized for Guidewire
Synthesized for Salesforce
Synthesized for Temenos
Populate non-production envronments with test data
Improve ML model performance
resources
Blog
Glossary
Whitepapers
demos
Support
Services & policies
Company
About us
Press
Careers
Blog
Contact us
Contact Sales
Contact Sales
Practical guide to data-driven testing
Optimal test coverage. Rigorous, automated, for all scenarios and edge cases.
Intelligent test data
Access high-quality, fully-compliant and large volumes of intelligent test data on demand
Optimisation of test dataset to increase coverage while decreasing overall size of dataset
Discover and eliminate more defects before going into production with shorter test cycles
Complete and scalable test coverage
Cover all functional and non-functional test cases
Database level generation, full referential integrity preserved, with the same schemas, data types and statistical properties as the production data
Secure and in full compliance with privacy regulations
GDPR, CCPA and HIPAA data privacy compliance
Enterprise grade security with SSO and full audit trail capabilities
Separation between data usage and ownership (admin access)
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