No SQL Database ,CAP theorem, Base Vs ACID property

No SQL Database ,CAP theorem, Base Vs ACID property

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  Dr.Divya K S Kristujayantideemed to be University
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  NoSQL Databases • Limitationsof Relational databases, CAP Theorem, BASE vs ACID properties, Advantages of NoSQL, Types of NoSQL databases, RDBMS Vs NoSQL, Differences between Cassandra and MongoDB, CouchDB and MongoDB.
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  Introduction to NoSQLDatabases • NoSQL (Not Only SQL) databases are non- relational databases designed for scalability, high performance, and flexible data models. • They store data in formats such as key-value pairs, documents, wide-columns, or graphs instead of traditional tables.
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  Limitations of RelationalDatabases • Fixed schema, limited scalability, complex joins, poor handling of unstructured data, big data limitations. • Example: A social media app with millions of users needs scalable storage that traditional RDBMS struggles to provide.
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  CAP Theorem • Statesthat a distributed database system can satisfy at most two of the three properties: • - Consistency • - Availability • - Partition Tolerance • Example: MongoDB is CP, Cassandra is AP. • Figure: CAP Theorem Triangle.
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  BASE vs ACIDProperties • ACID: Atomicity, Consistency, Isolation, Durability — strict consistency. • BASE: Basically Available, Soft state, Eventual consistency — focuses on scalability. • Table: Comparison of ACID vs BASE.
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  Advantages of NoSQL •Handles large volumes of data efficiently. • Flexible schema design. • Horizontal scalability. • High performance. • Supports unstructured/semi-structured data. • Example: Social media platforms storing posts, user data, comments, etc.
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  Types of NoSQLDatabases • Document Store (MongoDB, CouchDB) • Key-Value Store (Redis, DynamoDB) • Column-Family Store (Cassandra, HBase) • Graph Store (Neo4j, OrientDB) • Table: Types and examples of NoSQL databases.
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  RDBMS vs NoSQL •Comparison of features: • - Schema • - Data Model • - Scalability • - Transactions • - Query Language • - Performance • - Example Databases • Table included.
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  Cassandra vs MongoDB •Comparison: • - Data Model • - Query Language • - Consistency • - Scalability • - Use Cases • - Schema • Table included with differences.
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  CouchDB vs MongoDB •Comparison: • - Data Model • - Query Language • - Storage • - Replication • - Consistency • - Use Cases • Table included with differences.
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  Examples and Figures •MongoDB Document Example. • Cassandra Table Example. • CouchDB Document Example.
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  Summary • Key Points: •- Limitations of RDBMS • - CAP Theorem • - BASE vs ACID • - Advantages of NoSQL • - Types of NoSQL • - RDBMS vs NoSQL • - Cassandra vs MongoDB • - CouchDB vs MongoDB