MongoDB



MongoDB is a document-oriented database and it is an open source database management system. MongoDB is a non-relational database technology. MongoDB is a NoSQL database using for big data storage. MongoDB architecture is prepared up of collection and documents when the relational database uses table and rows. MongoDB is developed by MongoDB Inc. - https://www.mongodb.com/company?jmp=footer.

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History of MongoDB
In 2007, Tengen(10gen) Company started developing MongoDB. MongoDB was developed by Dwight Merriman and Eliot Horowitz the team behind DoubleClick. In 2009, Tengen(10gen) shifted to the open source development model and it's proposing commercial support and other database related services. In 2013 Tengen(10gen) change its company name to MongoDB Inc. and MongoDB published in 2017, it’s listed on NASDAQ as MDB.

Why use MongoDB? 
1.      MongoDB is a NoSQL type database and it's having data in a relational type format data stores in documents. So MongoDB is a document-oriented database. Document database makes MongoDB very flexible and adjustable to real business situation and requirements.
2.      MongoDB delivers high accessibility with replication sets and consists of two or more copies of the information. The role of primary or secondary nodes at any time in Replication. In Primary node, all writes and reads are done and in secondary nodes maintain a copy of the data of the primary using built-in replication.
3.      Range query and regular expression search supports in MongoDB. In MongoDB, queries return specific fields of documents and also contain user-defined JavaScript functions.
4.      Indexing uses to improve the performance of what you search in a database. You can index any field in a document with primary and secondary indices. Using index feature performance automatically increased.   

MongoDB with .Net Core course link => https://www.udemy.com/mongodb-with-net-core-sagar-jaybhay/

What are the concept and terminology?
Here is the compare MySQL and MongoDB
MySQL                                                       MongoDB
Database                                                    Database
Index                                                           Index
Table                                                           Collection
Column                                                      Field
Row                                                             Document
Joining                                                        Linking
Partition                                                     Sharding

 When to use MongoDB?

Following are some point where you can use MongoDB
v When you want to in order to store the structured data of a social networking website.
v When you need a schema-less document store, you have a stable schema. 
v When you want to check Real-time analytics.
v When you want to represent data in a bunch of documents then you go to the MongoDB.
v When you need Content Management.
v When you develop a big Mobile application.
v When you need a map/reduce data processing of your Blog.
v When big organization data want to represent in a bunch of documents.  
v When you want to represent data as autonomous packages of data.


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Advantages and Disadvantage of mongoDB
Advantages of MongoDB
v MongoDB is a document oriented database.
v MongoDB is a schema-less database.
v MongoDB is a high-performance database.
v MongoDB also provides ACID properties at the document level.
v MongoDB has replication and gridFS features and its features help to increase data availability.
v MongoDB easy to access the document by indexing.
v MongoDB is a horizontally scalable database.
v MongoDB environment set up is easy.
v MongoDB supports common certification mechanisms, like LDAP, AD, and certificates.
v MongoDB document storage using BSON format which extends JSON implementation to additional data types.
v MongoDB is an easy of scale out. The scale reads by using replica sets and scale writes by using sharding.

Disadvantages of MongoDB
v In MongoDB has no join, therefore, less flexibility with querying.
v MongoDB has a complex transaction.
v Data size in MongoDB is familiarly higher because each document has a field name stored.
v In MongoDB where you can bind the logic, there is no function or stored procedure exists. 

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