The document discusses NoSQL databases as an alternative to traditional relational database management systems, noting that NoSQL databases are designed to handle large amounts of unstructured and semi-structured data across distributed systems at large scales. It provides an overview of different types of NoSQL databases like key-value stores, document databases, and tabular databases and explains their uses and advantages over relational databases for applications involving big data. The document also outlines characteristics of data and applications that are better suited for NoSQL databases compared to relational databases.

1. What is NoSQL
NoSQL
Database
Management
System

2. RDBMS
(Retional) OLAP NoSQL
Provides the mechanism for
storage and retrieval

3. Flat File system was
created
Problem:
No Standard
implementation
Relational Database
is the answer
1970’s

4. Relational
Database was
created
Problem:
Could not handle
BigData
NoSQL Database is
the answer
Recently

5. No SQL
Scalability
Performance
High Availability
Focus to Provide

6. RDBMS
(Retional) OLAP NoSQL
Less Functionality More
Performance
More Functionality Less
Performance

7. RDBMS
(Retional) OLAP NoSQL
Unstructured DataStructured Data
Tables Cubes Collections

8. Key Value
Store Tabular
Document
Oriented
Provides the mechanism for
storage and retrieval
NoSQL

9. Key Value
Store Tabular
Document
Oriented
Unstructured Data
Eg:
Memcached
Coherence
Redis
Eg:
BigTable
H.Base
Accumulo
Eg:
MongoDB
CouchDB
Cloudant

10. Not Only
SQL

11. • The ability to store & retrieve great quantities of data is
important
• Storing relationship between the elements are not
important
• Dealing with growing lists of elements: Twitter
posts, internet server logs, Blogs
• The data is not structured or the structured or the
structure is changing with time
• Prototypes or fast applications need to be developed
• Constraints and validations logic is not required to be
implemented in database

12. Hbase NoSQL Database System Architecture