Questions and Answers of SQL vs NoSQL asked in Interviews - REQMAT BLOGSPOT
Questions and Answers of SQL vs NoSQL asked in Interviews

Questions and Answers of SQL vs NoSQL asked in Interviews

REQMAT BLOGSPOT - Nareddula Rajeev Reddy NRR

What is the difference between SQL and NoSQL databases?

Answer: SQL (Structured Query Language) and NoSQL (Not Only SQL) are two popular types of databases used for storing and managing data. The main difference between the two is the way they store and access data.

SQL databases use a fixed schema to store data in tables with predefined data types and relationships. SQL is best suited for structured data, where the data follows a predictable pattern and can be easily queried using SQL commands. Examples of SQL databases include MySQL, PostgreSQL, and Oracle Database.

NoSQL databases, on the other hand, are more flexible and can store unstructured or semi-structured data in a variety of formats, such as JSON, BSON, or CSV. NoSQL databases do not enforce a fixed schema, which allows for greater flexibility and scalability at the cost of some querying capabilities. Examples of NoSQL databases include MongoDB, Cassandra, and Couchbase.

When should you choose SQL over NoSQL, and vice versa?

Answer: The choice between SQL and NoSQL depends on several factors, including the type of data being stored, the desired level of scalability and flexibility, and the required querying capabilities.

Here are some general guidelines:

a) Choose SQL when:

  • The data is highly structured and follows a predictable pattern.
  • ACID transactions are required to ensure data consistency.
  • Complex queries with joins and subqueries are needed to extract insights from the data.
  • Data integrity is critical, and strict data constraints are required.

b) Choose NoSQL when:

The data is unstructured or semi-structured, with varying data types and structures.

  • Scalability is a primary concern, as NoSQL databases can scale horizontally across multiple nodes without requiring schema changes.
  • Flexibility is important, as NoSQL databases can handle a wide variety of data formats without requiring a fixed schema.
  • Real-time data access is required, as NoSQL databases can provide lower latency for read/write operations due to their distributed architecture.

What are some common use cases for SQL and NoSQL databases?

Answer: Here are some common use cases for SQL and NoSQL databases:

a) Use SQL for:

  • Financial applications that require strict data integrity and transactional consistency (e.g., banking systems).
  • Customer relationship management (CRM) systems that require complex queries to extract insights from customer data (e.g., Salesforce).
  • E-commerce websites that require detailed product information with complex relationships between products (e.g., Amazon).

b) Use NoSQL for:

  • Big Data applications that require storing large volumes of unstructured or semi-structured data (e.g., social media analytics).
  • Internet of Things (IoT) applications that require storing large volumes of sensor data in real time (e.g., smart cities).
  • Content management systems (CMS) that require storing large volumes of textual content with varying structures (e.g., WordPress).

When is it appropriate to use a SQL database over a NoSQL database?

A: SQL databases are typically used when there is a need for strict data consistency, complex relationships and transactions, whereas NoSQL databases are suitable for handling large amounts of unstructured or semi-structured data, with a focus on scalability and performance.

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