![]() According to Jon Vines, Software Development Team Lead at AO.com, “It soon became clear that MongoDB’s document model was the best choice for us. After reviewing a number of NoSQL databases, AO.com chose MongoDB Atlas. At many organizations, data has been siloed by department: the shipping data is separate from the product data which is in turn separate from the customer data, which sales and customer service may each have a version of.ĪO.com, one of the largest electronics stores in the UK, needed to create a single view of their data to support applications, including their call center, their fraud team, and their GDPR compliance efforts. NoSQL databases are usually implemented with a horizontal, scale-out architecture that provides a clear path to supporting huge amounts of data or traffic.Ĭreating a single view of data (sometimes called customer 360) is an important challenge for many businesses. It’s popular with developers because JSON documents capture structures that typically align with objects developers are working with in code. The values can vary over the usual types including strings, numbers, Booleans, arrays, and nested data.Įnhancing its flexibility, the document data model can vary from record to record. ![]() Each document contains markup that identifies fields and values. Here we explore the main types of NoSQL databases along with examples of how they are used in practice.ĭocument databases store data in a document data model using JSON (JavaScript Object Notation) or XML objects. But from that point, NoSQL databases diverge. NoSQL databases have one important thing in common: they do not rely on the traditional row-and-column schema that relational databases use.
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