My main use case for CData API Server is to ensure high-velocity test execution, seamless API governance, and reliable data pipelines across multi-tenant environments. CData API Server is helping us bridge the gap between heterogeneous databases such as SQL Server, Oracle, PostgreSQL, and other servers. It is automating our testing and QA frameworks, which is our basic use case. Additionally, it automatically generates secure and production-grade REST APIs over our diverse back-end databases without writing custom code. CData API Server assists in test automation and virtualization, powering our automated regression test suites, mock servicing layers, and test data management TDM pipelines. It also feeds real-time synthetic test data directly into our CI/CD pipelines, which we use with Jenkins and test execution tools.
Find out what your peers are saying about CData Software, Software AG, Torry Harris Integration Solutions and others in API Management. Updated: August 2026.
API Management involves overseeing APIs in a scalable, secure, and efficient manner. Enterprises use these solutions for API exposure, control, and enhancement, ensuring seamless communication between their applications and services. This category covers a comprehensive range of tools designed for efficient API lifecycle management, addressing key operational aspects such as API creation, deployment, security, analytics, and monetization. Businesses find these tools essential for...
My main use case for CData API Server is to ensure high-velocity test execution, seamless API governance, and reliable data pipelines across multi-tenant environments. CData API Server is helping us bridge the gap between heterogeneous databases such as SQL Server, Oracle, PostgreSQL, and other servers. It is automating our testing and QA frameworks, which is our basic use case. Additionally, it automatically generates secure and production-grade REST APIs over our diverse back-end databases without writing custom code. CData API Server assists in test automation and virtualization, powering our automated regression test suites, mock servicing layers, and test data management TDM pipelines. It also feeds real-time synthetic test data directly into our CI/CD pipelines, which we use with Jenkins and test execution tools.