No SQL Database
Published: 2023-05-14 13:44:03


NoSQL databases are non-tabular databases and store data differently than relational tables. They provide flexible schemas and scale easily with large amounts of data and high user loads.

### Why NoSQL
-   Flexible data model: NoSQL databases offer a flexible data model for modern applications with complex data requirements.
    
-   Scalability: NoSQL databases are designed to scale horizontally. This makes it easier to handle high traffic and large data volumes.
    
-   High performance: NoSQL databases are optimized for high-speed reads and writes, making them ideal for applications that require low latency and high throughput.
    
-   Availability: NoSQL databases are designed to be highly available, with built-in replication and failover mechanisms that ensure your data is always accessible.
    
-   Cost-effective: NoSQL databases are often more cost-effective than traditional relational databases, as they can be run on commodity hardware and require less maintenance.
    
### Types of NoSQL Database
1.  Document-oriented databases: These databases store data in JSON or BSON documents, making them flexible and scalable. Examples include MongoDB and Couchbase.
    
2.  Key-value databases: These databases store data in key-value pairs, making them highly performant for simple operations like read/write operations. Examples include Redis and Riak.
    
3.  Column-family stores: These databases store data in columns rather than rows, making them ideal for use cases that require querying large amounts of data. Examples include Apache Cassandra and HBase.
    
4.  Graph databases: These databases store data in nodes and edges, making them ideal for use cases that require complex relationships and hierarchical data structures. Examples include Neo4j and OrientDB.
    
5.  Object-oriented databases: These databases store data in objects, making them ideal for use cases that require complex data modeling and object-oriented programming.
###  How will i investigate using a NoSQL database for improving performance
1.  Define the scope of the investigation: Identify the specific use case for the NoSQL database and determine the data requirements and expected workload.
    
2.  Research different NoSQL database types: Explore the different types of NoSQL databases, such as document-oriented, key-value, column-family stores, graph databases, and object-oriented databases, to determine which type is best suited for the use case.
    
3.  Evaluate database options: Once the type of NoSQL database has been determined, evaluate different database options within that type to determine which database best meets the specific requirements of the project.
    
4.  Perform a proof-of-concept: Before making a final decision, perform a proof-of-concept to test the performance, scalability, and functionality of the chosen NoSQL database in a realistic environment.
    
5.  Analyze the results: Analyze the results of the proof-of-concept to determine if the NoSQL database meets the performance and scaling requirements of the project.
    
6.  Consider the impact on the existing infrastructure: Evaluate the impact that adding a NoSQL database will have on the existing infrastructure and determine if any modifications are required.
    
7.  Evaluate the cost: Determine the cost of implementing and maintaining the NoSQL database over time, including licensing fees, hardware costs, and ongoing maintenance and support.
    
8.  Make a recommendation: Based on the investigation and analysis, make a recommendation on whether or not to use a NoSQL database and which specific database to use. 
    
### References
[GeeksforGeeks](https://www.geeksforgeeks.org/top-5-reasons-to-choose-nosql/)
[MongoDb](https://www.mongodb.com/nosql-explained)