Organizations like Microsoft SQL Server Oracle and Sybase use the relational database management system (RDBMS). Relational databases store data in columns and rows. There are two primary database types: SQL (relational) and NoSQL (non-relational). MongoDB is a non-relational database system. MongoDB has cultivated a reputation as a versatile, flexible database and is currently used today as the backend data store of many high-profile businesses and organizations such as Forbes, Facebook, Google, IBM, Twitter, and many more. You can find MongoDB’s source code on GitHub. MongoDB was created in 2009 as an open-source, highly scalable, robust, and free NoSQL database. Version 3 came with an aggregation framework mainly as a supplement to the aging MapReduce framework. Version 1 was basic, while version 2 introduced features like sharding, usable and special indices, geospatial features, memory, and concurrency improvements, among others. MongoDB was released on August 27th, 2009. NoSQL has relaxed ACID (atomicity, consistency, isolation, durability) properties and guarantees better performance, scalability, flexibility, and reduced complexity. As a result, Not only SQL or NoSQL was developed. However, as websites' functionality grew, developers wanted to generate web pages using content that could change over time without redeploying the code. Structured Query Language (SQL) existed even before the World Wide Web. Now that you know what’s in store for you, continue reading the tutorial MongoDB Evolution This tutorial on What is MongoDB will give you a deep understanding of its working and applications. Surely, you would have heard about this several times, if you’re interested in this topic. MongoDB is a popularly used NoSQL (not only SQL) database. Okay, that’s great, but there’s a lot of databases out there. A database is any structured information or data specially organized and stored in a computer for fast retrieval and search. So, if you want to make the most of that data, you need organized, easily accessible information. We’re living and working in a data-driven world.
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