Hybrid Data Pipeline: New Approach to Real-Time Data Access

September 23, 2016 Data Connectivity, High Productivity

Progress sees connectivity as the new integration. Hybrid Data Pipeline simplifies integration by connecting directly to data

Business applications need data, but to build them efficiently and get them in the hands of users, developers can’t spend hours custom coding one data connection at a time. They need to integrate applications and data quickly, no matter where that data lives; on-site, in the cloud, or both.

Real-Time Access to Infinite Data Sources

Progress DataDirect Hybrid Data Pipeline completely changes the way applications access data.

Hybrid Data Pipeline is a lightweight, embeddable data access service that simplifies integration by connecting directly to the data. This provides applications the ability to use SQL or OData to perform real-time access to on-premises and cloud data. This prevents developers from having to do ETL. Connecting directly to the data is more agile than setting up a middle tier and real-time integration is sometimes better than ETL.



Keep Up with the Exploding APIs

Hybrid Data Pipeline exposes a wide range of data sources with a single standard interface (REST and SQL). And it supports standards-based APIs—ODBC, JDBC, and OData to allow existing applications to readily take advantage of its features.  No need for developers to code their applications to data source specific APIs. Hybrid Data Pipeline is easy to install and configure. Customers can be up and running fast—in about 30 minutes—using their existing skills and concepts.

Hybrid Data Pipeline keeps up with the ever expanding array of on-premises and cloud data sources that customers’ applications must access so that their customers don’t have to.

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Sumit Sarkar

Technology researcher, thought leader and speaker working to enable enterprises to rapidly adopt new technologies that are adaptive, connected and cognitive. Sumit has been working in the data access infrastructure field for over 10 years servicing web/mobile developers, data engineers and data scientists. His primary areas of focus include cross platform app development, serverless architectures, and hybrid enterprise data management that supports open standards such as ODBC, JDBC, ADO.NET, GraphQL, OData/REST. He has presented dozens of technology sessions at conferences such as Dreamforce, Oracle OpenWorld, Strata Hadoop World, API World, Microstrategy World, MongoDB World, etc.

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