SQL databases store data in tables with fixed schemas and are ideal for structured data requiring strong consistency, relationships, and transactions (used by banks with MySQL/PostgreSQL), while NoSQL databases offer flexible structures for JSON, documents, key-value data, and graphs, making them suitable for massive scale and flexible data (used by Netflix and Amazon). The key selection rule is: choose SQL for structured data with strong consistency needs, and NoSQL for flexible data requiring huge scale.
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SQL vs NoSQL Explained in 60 secondsđ„đ»đ #shorts #interview #coding #database #systemdesign #sqlAñadido:
SQL versus No SQL in 30 seconds. SQL databases store data in tables with fixed schema. For example, users table, orders table, etc. It is perfect when consistency matters, when relationships matter, when transactions matter. That's why banks use SQL databases like MySQL or Postgres. Now coming to No SQL.
[music] No SQL databases are flexible.
They can store JSON, key-value data, documents, or even graphs. These are perfect for massive scale, [music] flexible data, and social media apps.
That's why companies like Netflix and Amazon heavily use No SQL. So, here's the simple rule. If you have structured data and you want strong consistency, go for SQL. If you have flexible data and you have to operate on huge scale, you can go with No SQL. If you want to know in detail about the basics of database, about SQL, No SQL, and much more, refer to this 8-hour crash course video and make sure you subscribe to the channel.
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