au Wowma Drivers & Connectors
for Data Integration

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

Working with a au Wowma Driver is different than connecting with au Wowma through other means. au Wowma 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 au Wowma integration code moving forward.

By comparison, our au Wowma Drivers offer codeless access to live au Wowma data for both technical and non-technical users alike. Any user can install our drivers and begin working with live au Wowma 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 au Wowma data. We manage all of the complexities of au Wowma 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 au Wowma, 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 au Wowma driver offers full-featured au Wowma data connectivity. The CData au Wowma drivers support extensive au Wowma integration, providing access to all of the au Wowma 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 au Wowma 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 au Wowma driver contains a full SQL-92 compliant engine that translates standard SQL queries into au Wowma API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to au Wowma as possible. Any logic that can not be pushed to au Wowma is handled transparently client-side by the driver/connector engine. Ultimately, this means that au Wowma looks and acts exactly like a database to any client application or tool. Users can integrate live au Wowma connectivity with ANY software solution that can talk to a standard database.

Using the CData au Wowma drivers and connectors, au Wowma 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 au Wowma data connectivity. Explore some of the more popular au Wowma data integrations online.

au Wowma 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 au Wowma 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.