Redshift drivers & connectors for data integration

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

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

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

The Redshift drivers and connectors offer comprehensive access to Redshift data. Our Redshift driver exposes static and dynamic data and metadata, providing universal access to Redshift data for any enterprise analytics or data mangement use. To explore the Redshift driver data model, please review the edition-specific Redshift driver documentation.

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

Additionally, since Redshift supported by CData Connect AI, we enable all kinds of new Redshift cloud integrations.

Redshift Analytics and Redshift 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 Redshift 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.

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