SAS Data Sets Drivers & Connectors for Data Integration

The SAS Data Sets driver acts like a bridge that facilitates communication between various applications and SAS Data Sets, allowing the application to read, write, and update data as if it were a relational database. The SAS Data Sets driver abstracts the complexities of SAS Data Sets APIs, authentication methods, and data types, making it simple for any application to connect to SAS Data Sets data in real-time via standard SQL queries.

Working with a SAS Data Sets Driver is different than connecting with SAS Data Sets through other means. SAS Data Sets API integrations require technical experience from a software developer or IT resources. Additionally, due to the constant evolution of APIs and services, once you build your integration you have to constantly maintain SAS Data Sets integration code moving forward.

By comparison, our SAS Data Sets Drivers offer codeless access to live SAS Data Sets data for both technical and non-technical users alike. Any user can install our drivers and begin working with live SAS Data Sets data from any client application. Because our drivers conform to standard data interfaces like ODBC, JDBC, ADO.NET etc. they offer a consistent, maintenance-free interface to SAS Data Sets data. We manage all of the complexities of SAS Data Sets integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

Many organizations draw attention to their library of connectors. After all, data connectivity is a core capability needed for applications to maximize their business value. However, it is essential to understand exactly what you are getting when evaluating connectivity. Some vendors are happy to offer connectors that implement basic proof-of-concept level connectivity. These connectors may highlight the possibilities of working with SAS Data Sets, but often only provide a fraction of capability. Finding real value from these connectors usually requires additional IT or development resources.

Unlike these POC-quality connectors, every CData SAS Data Sets driver offers full-featured SAS Data Sets data connectivity. The CData SAS Data Sets drivers support extensive SAS Data Sets integration, providing access to all of the SAS Data Sets data and meta-data needed by enterprise integration or analytics projects. Each driver contains a powerful embedded SQL engine that offers applications easy and high-performance access to all SAS Data Sets data. In addition, our drivers offer robust authentication and security capabilities, allowing users to connect securely across a wide range of enterprise configurations. Compare drivers and connectors to read more about some of the benefits of CData's driver connectivity.

With our drivers and connectors, every data source is essentially SQL-based. The CData SAS Data Sets driver contains a full SQL-92 compliant engine that translates standard SQL queries into SAS Data Sets API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to SAS Data Sets as possible. Any logic that can not be pushed to SAS Data Sets is handled transparently client-side by the driver/connector engine. Ultimately, this means that SAS Data Sets looks and acts exactly like a database to any client application or tool. Users can integrate live SAS Data Sets connectivity with ANY software solution that can talk to a standard database.

Using the CData SAS Data Sets drivers and connectors, SAS Data Sets can be easily integrated with almost any application. Any software or technology that can integrate with a database or connect with standards-based drivers like ODBC, JDBC, ADO.NET, etc., can use our drivers for live SAS Data Sets data connectivity. Explore some of the more popular SAS Data Sets data integrations online.

SAS Data Sets Analytics is universally supported for BI and data science. In addition, CData provides native client connectors for popular analytics applications like Power BI, Tableau, and Excel that simplify SAS Data Sets data integration. Additionally, native Python connectors are widely available for data science and data engineering projects that integrate seamlessly with popular tools like Pandas, SQLAlchemy, Dash, and Petl.

Absolutely. CData offers native Excel Add-Ins for SAS Data Sets integration. These Add-Ins provide live access to SAS Data Sets data directly from Microsoft Excel.