SQL vs NoSQL
- 1. SQL vs NoSQL Naseeba Basheer
- 2. Table Of Contents • SQL • NoSQL • Scalability • Structure • Examples • Differences of SQL vs NoSQL
- 3. SQL • Use structured query language (SQL) for defining and manipulating data • Advantages • Extremely powerful • Most versatile and widely-used options available • Safe choice and especially great for complex queries • Disadvantages • Restrictive • Use predefined schemas to determine the structure of data before work with it
- 4. NoSQL • Dynamic schemas for unstructured data • Data is stored in many ways: • Column-oriented • Document-oriented • Graph-based • Organized as a KeyValue store • Flexibility • Can create documents without having to first define their structure • Each document can have its own unique structure • The syntax can vary from database to database
- 5. Scalability • SQL • Vertically scalable : increase the load on a single server by increasing things like CPU, RAM or SSD • NoSQL • Horizontally scalable : handle more traffic by sharding, or adding more servers in NoSQL database
- 6. Structure • SQL • Table based • NoSQL • Either document-based, key-value pairs, graph databases or wide- column stores
- 7. Examples • SQL • MySQL • Oracle • PostgreSQL • Microsoft SQL Server • NoSQL • MongoDB • BigTable • Redis • RavenDB Cassandra • Hbase • Neo4j • CouchDB.
- 8. Differences of SQL vs NoSQL SQL • Relational • Use structured query language and have predefined schema • Vertically scalable • Table based • Better for multi row transactions NoSQL • Non-relational • Dynamic schema for unstructured data • Horizontally scalable • Document, key-value, graph or wide- column stores • Better for unstructured data like documents or JSON