How do BigQuery and Cloud SQL differ? When would you use each service?

Q: How do BigQuery and Cloud SQL differ? When would you use each service?

> * **BigQuery**: * *Type*: Serverless, columnar data warehouse (OLAP - Online Analytical Processing). * *Best for*: Running complex SQL queries over petabytes of analytical data, data warehousing, BI dashboards, and ML analysis. * **Cloud SQL**: * *Type*: Managed relational database for MySQL, PostgreSQL, and SQL Server (OLTP - Online Transaction Processing). * *Best for*: Application backends needing fast real-time read/write transactions, consistency, and struct

💬Answer

BigQuery:
- Type: Serverless, columnar data warehouse (OLAP - Online Analytical Processing).
- Best for: Running complex SQL queries over petabytes of analytical data, data warehousing, BI dashboards, and ML analysis.
Cloud SQL:
- Type: Managed relational database for MySQL, PostgreSQL, and SQL Server (OLTP - Online Transaction Processing).
- Best for: Application backends needing fast real-time read/write transactions, consistency, and structured data storage (e.g., e-commerce orders, user profiles).

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