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\x00 // 0x00 = type EOO ('end of object')ĭespite the above, it is important to note that when interacting with MongoDB, documents look for all intents and purposes like JSON documents (albeit with the additional data types). The example below is taken from the MongoDB website and I believe it shows the differences very clearly. BSON supports all of the same data types as JSON ( String, Number etc.) as well as some additional data types such as ObjectId and ISODate.
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BSON is essentially JSON encoded in a binary format that allows for more efficient parsing of data. In the case of MongoDB, these documents are stored in BSON (Binary JSON) format. MongoDB is classed as a document database because unlike a relational database such as SQL Server that stores data in rows and tables, a document database stores data in documents that are organised within collections. Instead of tabular data, NoSQL databases usually consist of either document, key-value, wide-column, or graph data model types.Īs mentioned previously, MongoDB is a document-oriented database. NoSQL (Not Only SQL) is a term that loosely describes databases that are not primarily relational and usually don’t have a SQL-like query language (although this isn’t always the case). The company is now worth billions and is continuing to grow a good sign when you’re thinking of investing in new technology! NoSQLĪt this point, you might be wondering what the term ‘NoSQL’ means. Since then their share prices have increased dramatically. In 2013 10gen changed its name to ‘MongoDB Inc.’ and became a publicly-traded company in 2017. Unfortunately, the PAAS offering didn’t work out as planned, but 10gen believed their database was pretty good and MongoDB was open-sourced in 2009. It was first developed back in 2007 by a company called 10gen as part of their own development stack to support a PAAS (Platform as a Service) offering they were developing at that time. MongoDB is an open-source cross-platform NoSQL document database.
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Backgroundīefore getting stuck into the setup process, first of all, let me provide you with a little bit of background on MongoDB.įeel free to skip to the Setup section if you already know the background and just want to get started. I hope you come along with me on this journey to get up and running with a best-in-class document-oriented database.
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My aim in this article is to help make the process of understanding how to get a MongoDB development environment up and running as straightforward as possible and to provide some advice along the way.įollowing on from this content, I’ll be creating a follow-up post covering how to get started with MongoDB queries. In more recent times, MongoDB has become a very well-rounded database engine, with features such as Multi-Document Transactions and the Aggregation Pipeline, making it suitable for many different application scenarios. Given the ongoing push for rapid application development and the need to adapt quickly to changing requirements, MongoDB provides a platform where you can iterate quickly and change course as needed. MongoDB is a hugely popular NoSQL database engine that is continuing to grow both in terms of its userbase and its feature-set.