MongoDB Advantages over RDBMS
·
Schema less − MongoDB
is a document database in which one collection holds different documents.
Number of fields, content and size of the document can differ from one document
to another.
1.
Structure of a single
object is clear.
2.
No complex joins.
3.
Deep query-ability.
MongoDB supports dynamic queries on documents using a document-based query
language that's nearly as powerful as SQL.
·
Ease of scale-out −
1.
MongoDB is easy to
scale.
2.
Conversion/mapping
of application objects to database objects not needed.
3.
Uses internal memory
for storing the (windowed) working set, enabling faster access of data.
Why MongoDB?
1-Document
Oriented Storage − Data is stored in the form
of JSON style documents.
Where to Use
MongoDB?
1.Big Data
2.Mobile and Social Infrastructure
3.User Data Management
4.Data Hub
5.Content Management and Delivery etc.
Features of MongoDB
|
Support ad hoc queries
|
In MongoDB, you can
search by field, range query and it also supports regular expression
searches.
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Indexing
|
You can index any field
in a document.
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Duplication of data
|
MongoDB can run over
multiple servers. The data is duplicated to keep the system up and also keep
its running condition in case of hardware failure.
|
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Replication
|
MongoDB supports Master
Slave replication.
A master can perform
Reads and Writes and a Slave copies data from the master and can only be used
for reads or back up (not writes)
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Load balancing
|
It has an automatic
load balancing configuration because of data placed in shards.
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Supports map reduce and aggregation tools.
|
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Uses JavaScript instead of Procedures.
|
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It is a schema-less database written in
C++.
|
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Stores files of any size easily without
complicating your stack.
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Easy to administer in the case of failures.
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Provides high performance.
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It also supports:
1.
JSON data model with dynamic schemas
2.
Auto-sharding for horizontal scalability
3. Built in replication for high
availability
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