MongoDB is a document-oriented, NoSQL database that is designed to handle large amounts of data across many commodity servers, providing high availability and scalability. There are several reasons why developers might choose to use MongoDB for their data storage needs.
MongoDB stores data in a format called BSON (binary JSON), which is similar to JSON and allows for easy and intuitive data modeling.
MongoDB is designed to handle large amounts of data and can handle high write and read loads, making it a good choice for high-performance applications.
MongoDB is designed to be horizontally scalable, which means that it can be easily scaled out by adding more commodity servers to the cluster.
MongoDB is designed to provide high availability and automatic failover, which means that it can continue to operate even in the event of a server failure.
MongoDB can be easily integrated with other systems, and it supports various programming languages, making it easy to work with.
MongoDB supports a wide range of indexes, including full-text search and geospatial indexing.
MongoDB supports advanced aggregation operations, like group by, sorting and match, which can be used to analyze large datasets.
MongoDB has a large and active community that contributes to the development of the framework, this means that it is frequently updated with new features and bug fixes.
MongoDB can be easily deployed on cloud providers like AWS, GCP and Azure.
MongoDB Atlas is a cloud-based service that allows to deploy, manage and scale MongoDB on the cloud with ease and without any operational overhead.
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