1. Relational vs. non-relational
- SQL databases are relational while NoSQL databases are non-relational.
- A relational database is a digital database based on the relational model of data.
- A non-relational database is not based on the traditional table structure that you may be used to. Instead, it is based on a more flexible model that can be adapted to fit the needs of the application.
2. Data schemas
- SQL databases use a predefined schema and structured query language.
- NoSQL databases have dynamic schemas that can accommodate unstructured data, which is often stored in a variety of ways.
3. Scaling
- SQL databases are known for their ability to scale vertically in most situations.
- It means you can increase the performance by adding more resources like CPU, RAM, or faster hard drives.
- NoSQL databases are able to scale horizontally, meaning they can handle an increased workload by adding more servers.
4. Data structure
- SQL databases store data in tables.
- NoSQL databases are usually a document or key-value stores.
5. Use cases
- SQL databases are the best choice for complex queries. If the data integrity and transactions are the requirements the SQL is better than NoSQL.
- If you're working with constantly changing data structures or JSON data, NoSQL could be a better choice.
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