Azure Data Lake Storage Drivers & Connectors
for Data Integration

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

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

By comparison, our Azure Data Lake Storage Drivers offer codeless access to live Azure Data Lake Storage data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Azure Data Lake Storage 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 Lake Storage data. We manage all of the complexities of Azure Data Lake Storage integration within each driver and deploy updated drivers as systems evolve so your applications continue to run seamlessly.

If you need truly zero-maintenance integration, check out connectivity to Azure Data Lake Storage via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to Azure Data Lake Storage from any of the available Cloud Drivers and Client Applications. Connectivity to Azure Data Lake Storage is managed in the cloud, and you never have to worry about installing new drivers when Azure Data Lake Storage is updated.

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

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

Additionally, since Azure Data Lake Storage supported by CData Connect Cloud, we enable all kinds of new Azure Data Lake Storage cloud integrations.

Azure Data Lake Storage Analytics and Azure Data Lake Storage Cloud BI integration 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 Lake Storage 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 Lake Storage 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 Lake Storage data any database or data warehouse, and maintain parity between systems with automated incremental Azure Data Lake Storage replication. In addition, our Azure Data Lake Storage drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. The best way to integrate Azure Data Lake Storage with Excel is by using the CData Connect Cloud Excel Add-In. The Azure Data Lake Storage Excel Add-In provides easy Azure Data Lake Storage integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to Azure Data Lake Storage from the easy-to-use cloud interface, and access Azure Data Lake Storage just like you would another native Excel data source.