Extensible Data Source Integration: A Modern Approach to Conquer Data Source Heterogeneity

Data lives in many different places within businesses, and enterprise software teams use a diverse set of data sources tailored to various applications. Typically, the business will select a specific data source - whether it be Oracle or SQL Server or Postgres or MongoDB, among many others - that is suitable for a particular application feature, functionality, and delivery. Hence, data flow from each and every type of data source to AppDev, QA/test, and analytics teams become a key challenge for today’s enterprise IT as the diversity increases over time.

The Delphix platform allows data from a diverse set of data sources in the enterprise to be securely delivered to every stakeholder, across on-premise, cloud and hybrid environments at the speed and scale required to enable rapid development and delivery of applications. It eliminates data source diversity-related challenges with its native and custom data source integrations

Extensible Data Source Integration extends Delphix platform virtualization capabilities and selective data distribution to diverse sets of structured, unstructured, SQL, NoSQL, and cloud-native data sources. Delphix can support a wide range of data sources starting from MySQL, PostgreSQL, Amazon Web Services RDS, MongoDB to z/OS, in addition to Oracle, SQL Server, SAP ASE, IBM DB2, and SAP Hana.

With this, data consumers, who are developers, testers, data scientists and analysts, and data operators, such as DBAs, can accelerate the provisioning and delivery of data from anywhere to anywhere (on-premise, cloud, hybrid, and multicloud environments). Specifically, they can sync or bookmark important changes or events, version control data sources through branching and bookmarking, refresh every virtual copy that consists of multiple data sources anytime and update it with the latest production data, branch copies of data for collaboration and share copies of data within and across teams.

For data managers, they can create lightweight virtual copies and continuously sync with source data, automate tasks to eliminate manual work of provisioning data environments for each data source, easily replicate, sync and refresh data to the cloud, do the migration to cloud or other data centers, view and manage data environments across users and provide role-based access control of environments.

Extensible Data Source Integration transforms how teams address challenges with data source heterogeneity and significantly improve data delivery for modern SDLC, AppDev or QA teams, whether it’s on-premise, in the cloud or in hybrid environments.