![]() BSON was designed to be lightweight, easily traversable, and efficient when encoding and decoding data to and from BSON.īeing a NoSQL datastore, MongoDB allows us to enjoy the advantages that come with using a non-relational database over a relational one. However, this BSON format can also contain more data types, such as Date types and Binary Data types. MongoDB also provides the GridFS specification in case there is a need to store files larger than the set limit.ĭocuments are made up of field-value pairs, just like in regular JSON data. This size limit is in place to ensure efficient memory and bandwidth usage during transmission. In MongoDB, a document is simply a JSON-like binary serialization format referred to as a BSON, or Binary-JSON, and has a maximum size of 16 megabytes. It allows us to store data in collections that are made up of documents. MongoDB is a document store and non-relational database. They are also referred to as NoSQL databases since we do not use SQL to interact with them.įurthermore, NoSQL databases can be divided into Key-Value stores, Graph stores, Column stores, and Document Stores, which MongoDB falls under. Non-relational databases store data in neither relation or tabular, as in relational databases. To work with these databases, we use the Structured Query Language (SQL) and examples include MySQL and PostgreSQL. Data is stored in organized tables with rows and columns with relationships linking the information among tables. ![]() Relational databases allow us to store, access, and manipulate data in relation to another piece of data in the database. ![]() There are two main types of databases - relational and non-relational databases. The kind of data handled can also have an influence on how we undertake this process.ĭatabases allow us to organize and store this data, while also controlling how we store, access, and secure the information. ![]() The organization and storage of this data are important as they dictate how we interact with the various applications at our disposal. Web applications, like many other software applications, are powered by data. To that end, we'll write a simple script to showcase what we can achieve and any benefits we can reap from it. In this post, we will dive into MongoDB as a data store from a Python perspective. ![]()
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