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MongoDB Basics for Tech Enthusiasts

MongoDB is a document oriented database developed in C++. It was originally developed as a PAAS in 2007 by 10gen and is now used by many large companies. MongoDB is good for high insert systems that require schema flexibility but lacks transactions and is not good for concurrent updates.

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35 views9 pages

MongoDB Basics for Tech Enthusiasts

MongoDB is a document oriented database developed in C++. It was originally developed as a PAAS in 2007 by 10gen and is now used by many large companies. MongoDB is good for high insert systems that require schema flexibility but lacks transactions and is not good for concurrent updates.

Uploaded by

zakitche
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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Introduction to MongoDB

About MongoDB
• MongoDB is a document oriented database.
• The word Mongo is derived from Humongous.
• Developed in C++
• MongoDB is a NoSQL database
• MongoDB documents are stored in BSON
• Binary JSON
MongoDB History
• MongoDB was developed in 2007 by 10gen.
• In 2013 10gen changed its name to MongoDB, Inc.
• Originally Developed as a PAAS - Platform as a
Service
• In 2009 MongoDB was introduced as an Open
Source Database server
MongoDB History
• MongoDB early adopters include SourceForge,
Foursquare, craigslist, and eBay
• Today MongoDB is used by many large
companies. Including: MetLife, Facebook,
Expedia, and Google
• At Springframework.guru MongoDB posts are
very popular
Why Use MongoDB?
• MongoDB is great for high insert systems
• Such as sensor readings, social media
systems, advertising systems
• Good when you need schema flexibility
• Can also support a high number of reads per
second
Why Avoid MongoDB?
• MongoDB has no concept of transactions.
• No A.C.I.D.
• No locking for transactional support, hence faster
inserts
• Not good for concurrent updates.
• Lots of jokes about MongoDB losing data.
MongoDB Terminology
RDMS MongoDB
Database Database
Table Collection
Row Document
Column Field
Table Join Embedded Documents
Primary Key Primary Key
Aggregation Aggregation Pipeline

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