GraphQL is the industry standard for efficiently querying data because of its capability to fetch multiple data points in one API call. This is what sets GraphQL apart from REST APIs where multiple API calls can slow down your site.
BigCommerce’s GraphQL Storefront API makes it possible to efficiently query storefront data to support high performing headless storefronts.
Fetching data from external systems is often a major bottleneck for headless storefronts, slowing down page load times and impacting the customer experience. To avoid this, high-performance APIs are essential for quickly delivering the data needed to render dynamic storefronts. BigCommerce’s GraphQL Storefront API is designed with this in mind, enabling faster data retrieval that keeps headless experiences both responsive and scalable. The list below expands on why GraphQL is the best choice:
With the GraphQL Storefront API, it is possible to:
GraphQL Storefront API allows you to get shopper data from the perspective of a customer in a channel - that means their pricing, product availability, etc. If you’ve hidden a product on the basis of channel or customer group, that is automatically reflected in the API and you can get all that information in one API call.
The goal of the content and labs in this course is to teach you the best methods for building highly dynamic headless storefronts. BigCommerce’s GraphQL Storefront API is used throughout the course to demonstrate how efficient and impactful it can be for your headless build.
The GraphQL Storefront API offers nearly all the functionality you’ll need for powering your storefronts, but a key area for which you’ll need a BigCommerce REST API is for the handling of payment data.
If building your own fully custom checkout, GraphQL can be used for all checkout data, but you will have to use the Payments API to process payments. See Payments API for more information.