NoSQL databases were created to address the limitations of relational databases in handling big data. NoSQL databases are non-relational, schema-less, and provide better performance than relational databases by sacrificing features like joins, complex transactions and validation constraints. Common types of NoSQL databases include key-value stores, document stores, and tabular databases. MongoDB is an example of a popular document store database that stores data in JSON-like documents rather than in tables.

1. NoSQL

2. Relational
database
was
created
NoSQL
Database
NoSQL’s ideas
It
couldn’t
handle
big data
Problem Solution
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3. What is NoSQL?
◍A NoSQL (originally referring to "non SQL", "non
relational" or "not only SQL")
◍A database management system
◍Non relational
◍Schema less
◍Less functionality & More performance
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4. No joining support
Missing in NoSQL
No constrains support
No complex transactions
support
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5. Query Language
Extra features in NoSQL
Horizontal Scalability
Fast Performance
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6. When will NoSQL be used?
◍Big Data
◍Relationship (not important)
◍Unstructured data
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7. When will NoSQL not be used?
◍Complex Transaction
◍Joining
◍Validations
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8. Storage
RDBMS
(Table)
MongoDB
(Collection)
9

9. Key Value Store
Example:
Mamcached,
Redis
NoSQL Database types
Document Oriented
Example:
MongoDB
Couch DB
Tabular
Example:
BigTable
Hbase
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10. Document Store Database
◍Data are stored in documents instead of
row & column
◍It is simply stored in JavaScript like
JSON and the language of database that is
used internally is JavaScript
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11. Mongo DB
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12. History
◍Established by 10gen company in 2007
◍Named MongoDB in 2008
◍Ripped out of 10gen’s appengine in 2009
◍Stable version 1.4 in 2010
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13. CRUD
Operation
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14. Create 15

15. Read 16

16. Update 17

17. Delete 18

18. Thanks!Any questions?
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