SQL vs NoSQL
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NoSQL databases are specialized for various data models with flexible schemas, recognized for their high performance and ease of development. They operate without normalization, storing records as individual documents, which enables greater flexibility and scalability compared to traditional SQL databases. Types of NoSQL databases include key-value, document, graph, in-memory, and search, each with specific use cases.
SQL vs NoSQL
- 1. Introduction to NoSQL Chandan Kumar
- 2. What are NoSQL databases? • NoSQL databases are purpose built for specific data models and have flexible schemas for building modern applications. • NoSQL databases are widely recognized for their ease of development, functionality, and performance at scale. • They use a variety of data models, including document, graph, key- value, in-memory, and search.
- 3. How NoSQL DB works No normalization Each record is stored as a individual documents For each book, the item, ISBN, Book Title, Edition Number, Author Name, and AuthorID are stored as attributes in a single document. No ”relation”
- 4. Why should you use it? • Flexibility • Scalability • High-performance • Highly functional
- 5. Types of NoSQL DB Key-value Document Graph In memory Search
- 6. Examples Type Example Key-value Redis, Amazon DynamoDB Document MongoDB Graph Neo4j In-memory Redis, Memcached Search Elasticsearch
- 7. SQL Vs NoSQL Properties RDBMS NoSQL Workloads Structured, relational Semi structured, non relational Data Model Normalization, strict schema, schema on write Document, in mem, key ( schema on read ) ACID Fully ACID compliant Non ACID compliant Performance Disk dependent Hardware cluster Scale Scale up ( beef up the hardware ) Distributed in nature API SQL Rest, Object