![]() It can store files of any size, while also allowing fast data processing and supporting data indexing. MongoDB's performance resides in its document-oriented storage capability and the schema dynamism, which make room for horizontal scalability and quick entry updates. MongoDB is used in practice by top companies in various domains, including healthcare, government and public administration, financial services, retail, publishing, media and telecommunications. This approach makes it suitable for the business environment, enabling users to develop all sorts of applications that work with large amounts of data, such as cloud-based or web-based programs, content management systems, data hubs, user data management programs and many more. Thanks to its rich feature set, MongoDB can be easily deployed within any production environment, regardless of its complexity, without compromising on performance, reliability and flexibility. Its dynamic architecture allows quick and convenient schema changing, while also enabling you to perform basic administrative tasks, such as managing entries, running queries, manipulating and indexing data. Unlike relational databases, MongoDB is not based on tables, but relies on a document model, working with JSON that have a dynamic structure, in BSON format. The driver features an asynchronous API which allows you to interact with MongoDB using Promises or via traditional callbacks. MongoDB provides users with a NoSQL document database system whose advantages are related to scalability (being capable of handling large data sets) and dynamic schema structuring, which enables you to change the database content without delays. The official MongoDB Node.js driver allows Node.js applications to connect to MongoDB and work with data.
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