Azure Data Catalog Drivers & Connectors
for Data Integration

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

Working with a Azure Data Catalog Driver is different than connecting with Azure Data Catalog through other means. Azure Data Catalog 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 Azure Data Catalog integration code moving forward.

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

Using the CData Azure Data Catalog drivers and connectors, Azure Data Catalog 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 Azure Data Catalog data connectivity. Explore some of the more popular Azure Data Catalog data integrations online.

Azure Data Catalog 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 Azure Data Catalog 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.

Azure Data Catalog data integration is typically enabled with CData Sync, a robust any-to-any data pipeline solution that is easy to set up, runs everywhere, and offers comprehensive enterprise-class features for data engineering. CData Sync makes it easy to replicate Azure Data Catalog data any database or data warehouse, and maintain parity between systems with automated incremental Azure Data Catalog replication. In addition, our Azure Data Catalog drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

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