Comparing Different SQL Platforms | MySQL | PostgreSQL | MongoDB | SQLite | Oracle | MS SQL @SCALER

What’s the difference between MySQL, CloudSQL, PostgreSQL and other SQL platforms? Sumit Shukla, DSML Educator, brings an extensive guide where he is comparing different sql platforms and their applications. Check out free masterclasses from industry-leading experts :

What is SQL?
SQL stands for Structured Query Language, and it is a standard language used to manage and manipulate relational databases. SQL allows users to create, modify, and query databases, as well as to extract and manipulate data within them.
SQL is used to perform a wide range of tasks, such as creating and modifying database schema, inserting, updating and deleting data, and querying the database to retrieve information.
What is cloud SQL?
Cloud SQL is a fully-managed relational database service provided by cloud computing platforms such as Google Cloud and AWS. It enables users to easily create, manage, and scale MySQL, PostgreSQL, and SQL Server databases in the cloud without having to manage the underlying infrastructure.

What is cloud computing?
Cloud computing is the delivery of computing services, including servers, storage, databases, networking, software, analytics, and intelligence, over the internet ("the cloud") to offer faster innovation, flexible resources, and economies of scale. Users pay only for what they use, without having to maintain their infrastructure.

What are SQL Subqueries?
Subqueries in SQL are queries that are nested within another query. They allow for more complex queries by enabling a query to reference the results of another query as a temporary table. This can be useful for filtering, sorting, and aggregating data in more complex ways than a single query can achieve.

What is Advanced SQL?
Advanced SQL refers to the use of more complex SQL features and techniques to perform advanced data manipulation and analysis. This can include subqueries, joins, aggregations, and window functions. Advanced SQL can be used to perform complex data transformations and generate insights from large and complex datasets.

About SQL interviews-
These are job interviews where the candidate is evaluated on their knowledge of SQL, including their ability to write and optimise SQL queries, create and manipulate databases, and understand database design principles. These interviews are common in data-related roles such as data analyst, data engineer, and database administrator.

Topics covered:

0:00 - Introduction
0:54 - Case Study - Why was RDBMS invented?
11:50 - How was RDBMS invented and how did it solve data problems?
27:09 - Case Study example with sample database
30:04 - How are tables connected in a database?
32:16 - Database schema example
33:47 - What are SQL Tools / Vendors?
36:30 - Who created RDBMS?
41:51 - Oracle DB
46:03 - MS SQL Server
52:51 - MySQL
53:27 - PostreSQL
56:15 - SQLite
57:00 - Google BigQuery

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