DSA _ASSIGNMENT_1(MONGODB VS RDBMS).pptx
- 1. MONGODB VS RDBMS IT5602 DATA SCIENCE AND ANALYSIS DHARSHAN 2021506018
- 2. CONTENTS TO BE COVERED: 1.INTRODUCTION 2.RELATIONALAND NON-RELATIONAL DATABASES 3.MONGODB 4.MONGODB AND RDBMS 5.MONGODB VS RDBMS
- 3. INTRODUCTION Two general types of data exists in the digital age: operational and analytical. Operational data is used for everyday transactions such as recording inventory, bank balances that have to be updated in real time. On the other hand, analytical data is geared towards helping businesses understand trends and patterns existing over a period of time Most companies employ relational/non-relational databases mixture to handle operational/analytical data effectively.
- 4. RELATIONALAND NON-RELATIONAL DATABASES RELATIONAL DATABASE Relational database are used to store data in tables. A table has columns that describe the data stored and rows containing the actual data. NON-RELATIONAL DATABASE NoSQL (Not Only SQL), or non- relational database means any kind of databases that do not use structured data concept from relational databases like tables, fields and columns Non-relational databases have been designed with the cloud in mind, making them great at horizontal scaling.
- 5. TYPES: 1. Document Database: Stores information in flexible documents; Example: MongoDB. 2. Column Store Database: Stores and arranges data concerning columns for better analysis; Example: Apache Cassandra. 3. Key-Value Store Database: Stores records by means of simple keys and values; Example: Redis. 4. Graph Database: A type of database that allows its users to see their dataset as graph made up of nodes
- 6. WHY MIGHT YOU PREFER A NON-RELATIONAL DATABASE OVER A RELATIONAL DATABASE? Non-relational databases are suitable for both operational and transactional data. They are more suitable for unstructured big data. Non-relational databases offer higher performance and availability. Flexible schema help non-relational databases store more data of varied types that can be changed without major schema changes.
- 7. MONGODB MongoDB is an open-source document-oriented database used for high volume data storage. It falls under the classification of a NoSQL database. NoSQL tool means that it doesn’t utilize the usual rows and columns. MongoDB uses BSON (document storage format) which is a binary style of JSON documents. FEATURES OF MONGODB Multiple Servers: It can run over multiple servers. Schema-less Database: It is a schema-less database. Indexing: Any field in the document can be indexed. Rich Object Model: It supports a rich object model. High scalability Distributed database
- 8. COLLECTION Collection is a group of MongoDB documents. It is the equivalent of an RDBMS table. A collection exists within a single database. Collections do not enforce a schema. Documents within a collection can have different fields. Typically, all documents in a collection are of similar or related purpose. DOCUMENT A document is a set of key-value pairs. Documents have dynamic schema. Dynamic schema means that documents in the same collection do not need to have the same set of fields or structure, and common fields in a collection's documents may hold different types of data.
- 9. MONGODB AND RDBMS Data Storage: • Both RDBMS and MongoDB store data permanently for easy access and to be changed. Query Language: • As regards query language, they are both applicable in querying of data (SQL as a query language for RDBMS and MondoDB Query Language that is used by MongoDB). Indexing: • Both RDBMS and MongoDB can be indexed because of increased retrieval speed ACID Compliance: • For transactional integrity, both systems can guarantee ACID (Atomicity, Consistency, Isolation, Durability) properties.
- 10. Data Integrity: • In keeping with this both have ways of maintaining the integrity of their data like the constraints used in RDMBS and schema validation offered in MongoDB. Scalability: • Escalation of these two databases horizontally to handle higher amount of data as well as load. Security: Security features are available in both system which includes authentication and authorization mechanisms.
- 11. MONGODB VS RDBMS Sr. No. Key RDBMS MongoDB 1 Concept RDBMS is a relational database management system and works on relational database. MongoDB is a non-relational, document oriented database management system and works on document based database. 2 Hiearchical Difficult to store hiearchical data. Have inbuilt support to store hiearchical data. 3 Scalablity RDBMS is vertically scalable. Performance increases with increase of RAM. MongoDB is horizontally scalable as well. Its performance increases with addition of processor. 4 Schema Schema need to be defined in RDBMS before using a database. Schema can be dynamically created and accessed in MongoDB. 5 SQL Injection Vulnerable to SQL Injection attack. SQL injection is not possible. 6 Principle Follows ACID principle, Atomicity, Consistency, Isolation, and Durability. Follows CAP theorem, Consistency, Availability, and Partition tolerance.
- 12. 7 Basis Database uses Row. Database uses Document. 8 Basis Database uses Column. Database uses Field. 9 Performance RDBMS is slower in processing large hierachical data. MongoDB is blazingly fast in processing large hierachical data. 10 Joins RDBMS supports complex joins. MongoDB has no support for complex joins. 11 JavaScript Client RDBMS do not provide JavaScript based client to query database. MongoDB provides Javascript based client to query database. 12 Query Language RDBMS uses SQL to query database. MongoDB uses BSON to query database.
- 13. MONGODB VS RDBMS
- 14. THANK YOU