Design Microservices Architecture with Patterns and Principles - When to Use Relational Databases

The video tutorial discusses the advantages of using relational databases, focusing on ACID compliance, which ensures data consistency through atomicity, consistency, isolation, and durability. It highlights the suitability of relational databases for predictable data and low workload volumes, emphasizing the benefits of normalization in reducing data size and minimizing the need for vertical scaling. The tutorial also covers the handling of complex queries, the importance of a fixed schema, and the deployment strategies that involve centralized structures and potential single points of failure.

What does the 'A' in ACID stand for in the context of relational databases?

• Atomicity

• Accessibility

• Adaptability

• Availability

Why are relational databases a good choice for applications with predictable data?

• They require frequent schema changes.

• They offer high availability.

• They support unstructured data.

• They handle complex transactions efficiently.

How does normalization benefit relational databases?

• It requires more vertical scaling.

• It reduces the size of data on disk.

• It increases data redundancy.

• It complicates data retrieval.

What is a key advantage of using relational databases for complex join queries?

• They are best for unstructured data.

• They are optimized for horizontal scaling.

• They support a powerful SQL query language.

• They have a flexible schema.

What is a potential drawback of the centralized structure of relational databases?

• They have multiple points of failure.

• They cannot handle complex queries.

• They are difficult to deploy in large locations.

• They have a single point of failure with failover.