Stores Reserve Drivers & Connectors
for Data Integration

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

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

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

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

Stores Reserve 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 Stores Reserve 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.