Amazon S3 Drivers & Connectors
for Data Integration

The Amazon S3 driver acts like a bridge that facilitates communication between various applications and Amazon S3, allowing the application to read data as if it were a relational database. The Amazon S3 driver abstracts the complexities of Amazon S3 APIs, authentication methods, and data types, making it simple for any application to connect to Amazon S3 data in real-time via standard SQL queries.

Working with a Amazon S3 Driver is different than connecting with Amazon S3 through other means. Amazon S3 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 Amazon S3 integration code moving forward.

By comparison, our Amazon S3 Drivers offer codeless access to live Amazon S3 data for both technical and non-technical users alike. Any user can install our drivers and begin working with live Amazon S3 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 Amazon S3 data. We manage all of the complexities of Amazon S3 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 Amazon S3 via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to Amazon S3 from any of the available Cloud Drivers and Client Applications. Connectivity to Amazon S3 is managed in the cloud, and you never have to worry about installing new drivers when Amazon S3 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 Amazon S3, 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 Amazon S3 driver offers full-featured Amazon S3 data connectivity. The CData Amazon S3 drivers support extensive Amazon S3 integration, providing access to all of the Amazon S3 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 Amazon S3 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 Amazon S3 driver contains a full SQL-92 compliant engine that translates standard SQL queries into Amazon S3 API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Amazon S3 as possible. Any logic that can not be pushed to Amazon S3 is handled transparently client-side by the driver/connector engine. Ultimately, this means that Amazon S3 looks and acts exactly like a database to any client application or tool. Users can integrate live Amazon S3 connectivity with ANY software solution that can talk to a standard database.

Using the CData Amazon S3 drivers and connectors, Amazon S3 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 Amazon S3 data connectivity. Explore some of the more popular Amazon S3 data integrations online.

Additionally, since Amazon S3 supported by CData Connect Cloud, we enable all kinds of new Amazon S3 cloud integrations.

Amazon S3 Analytics and Amazon S3 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 Amazon S3 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.

Amazon S3 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 Amazon S3 data any database or data warehouse, and maintain parity between systems with automated incremental Amazon S3 replication. In addition, our Amazon S3 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 Amazon S3 with Excel is by using the CData Connect Cloud Excel Add-In. The Amazon S3 Excel Add-In provides easy Amazon S3 integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to Amazon S3 from the easy-to-use cloud interface, and access Amazon S3 just like you would another native Excel data source.