AWS, JavaScript, React - Deploy Web Apps on the Cloud - CAP Theorem for NoSQL Databases

The video tutorial explores the advantages of NoSQL databases, particularly their ability to scale horizontally across multiple instances, making them ideal for applications with large, evolving datasets. It contrasts this with relational databases, which are limited to vertical scalability. The tutorial also delves into the CAP theorem, explaining its three components: Consistency, Availability, and Partition Tolerance, and how they apply to distributed systems. The lecture concludes by highlighting the differences between ACID compliance and the CAP theorem, setting the stage for the next lecture on database characteristics.

What is a key advantage of NoSQL databases over traditional SQL databases?

• They require less storage space.

• They can scale horizontally across multiple instances.

• They are easier to program.

• They can scale vertically.

Which type of applications benefit most from NoSQL databases?

• Applications with minimal data processing needs.

• Applications that do not require scalability.

• Applications with static data sets.

• Applications with large, constantly evolving data sets.

What is a limitation of relational databases compared to NoSQL databases?

• They are not suitable for any applications.

• They can only scale horizontally.

• They are limited to vertical scalability.

• They cannot handle any type of data.

According to the CAP theorem, which two guarantees can a distributed system achieve simultaneously?

• Consistency and Availability

• All three: Consistency, Availability, and Partition Tolerance

• Availability and Partition Tolerance

• Consistency and Partition Tolerance

What does partition tolerance in the CAP theorem imply for a distributed system?

• The system must always be consistent.

• The system can continue to operate even with some data loss.

• The system must stop operating if a single instance fails.

• The system must always be available.