This document provides an overview of NoSQL database types including key-value stores, document stores, column stores, and graph databases. It describes their main characteristics such as schema flexibility, performance, scalability, and examples of popular databases for each type. Key-value stores provide simple get, put, delete functionality and are very fast and scalable. Document stores store semi-structured data like JSON and support complex queries. Column stores optimize data storage by column and are efficient for analytics. Graph databases specialize in storing network-like relationships between entities.

1. Name : Shweta Metar

2. What Is NoSQL ?
• Managing very large sets of distributed data.
• Analyze massive amounts of unstructured data.
• Originally created and used by Internet leaders such
as Facebook, Google, Amazon and others.
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3. NoSQL - Example
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Customer Details

4. Benefits of NoSQL
• Schema agnostic
• Scalability
• Performance
• High availability
• Global availability
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5. Architecture Patterns
• Allow you to give precise names to recurring high
level data storage patterns.
• A consistent process that allows you to name the
pattern
• All team members should have the same
understanding about how a particular pattern
solves your problem
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6. • Key-Value Store
• Document Store
• Column Store
• Graph Base
Types : Architecture Pattern
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7. Key-value store
• The simplest NoSQL data stores to use from an
API perspective.
• Client can get the value for the key, put a value
for a key or delete a key.
• Have great performance and can be easily scaled.
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8. Key-value store
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Customer Shipping Details

9. Key-value store - API
• Get – to get the value associated with the key.
• Put – to associate the value with the key.
• Multi-get – to get the list of values associated
with the keys.
• Delete – to remove the data for the key.
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10. Key-value store - Rules
• Distinct Keys :- All keys in key value store are
unique.
• No queries on values :- No queries can be
performed on the values of the table.
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11. Key-value store - Weakness
• Lack of Consistency
• Volume of the data increases since difficult to
maintain unique value as keys.
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12. Key-value store - Uses
Word (key)
• Dictionary :
Meanings (value)
Website (key)
• Google :
www.tutorialpoints.com (value)
www.gmail.com (value)
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13. Key-value store : Example
• Amazon DynamoDB
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14. Document store
• Documents are the main concept in document
databases.
• More semi-structured data.
• The database stores and retrieves documents,
which can be XML, JSON, BSON, and so on.
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15. Document store
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customer
customer
id
first
name
lastname company likes
fc986e48
cae
Pram
od
Sadalage Thought
Works
Biking,
Photo
graphy
billingaddress
customerid state city type
fc986e48ca
e
AK DILLINGNAM R
JSON Format

16. Document store : Example
• MongoDB Stores data in Documents.
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17. Column store
• Store data in column families as rows that have many
columns associated with a row key.
• Column families are groups of related data that is often
accessed together.
• When a column consists of a map of columns, then we have
a super column.
• A super column consists of a name and a value which is a
map of columns.
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18. Column Store : Example
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Family Details

19. Column Store : Benefits
• Column stores are very efficient at data
compression
• Columnar databases are very scalable.
• Columnar stores can be loaded extremely fast.
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20. Column Store : Example
• Hbase – Hadoop Database is a NoSQL database
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21. Graph Base
• Stores entities and relationships between these
entities.
• Relations are known as edges.
• Nodes are organized by relationships which allow you
to find interesting patterns between the nodes.
• Interpreted data in different ways based on
relationships.
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22. Graph Base
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23. Graph Base : Example
• Neo4J - graph database
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24. Comparison
Parameters
Key - Value
Store
Document
Store
Column Store Graph Base
Performance High High High Variable
Scalability High Variable High Variable
Flexibility High High Moderate High
Complexity None Low Low High
Functionality Variable Variable Minimal Graph theory
Example
Purchasing
Product Bill
(Amazon)
Company
Store User
details
(Facebook)
Movies
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25. ANK YOU
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