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What are the advantages and disadvantages of using MongoDB?

Q: What are the advantages and disadvantages of using MongoDB?

Short answer: Advantages: Scalability: MongoDB scales horizontally through sharding, which can handle large datasets across distributed clusters. Explain a bit more Flexibility: Schema-less design allows for dynamic data models and easier iteration during development. Performance: It can perform high-throughput reads and writes for large datasets. High Availability: Through replica sets, MongoDB ensures data availability and fault tolerance. Disadvantages: Consistency: By default, MongoDB uses eventual consistency, which may not be suitable for all applications (though it supports ACID transactions in some cases). Complexity in Transactions: While MongoDB now supports multi-document transactions, working with them is more complex compared to SQL. Data Duplication: The flexibility can sometimes lead to data duplication and inconsistency if not properly managed. Real-world example (ShopNest) ShopNest’s SQL Server database stores customers, products, and orders. Good indexes and clear foreign keys keep checkout queries fast and safe. Say this in the interview Define — one clear sentence (the short answer above). Example — relate it to a project like ShopNest or your real work. Trade-off — when you would not use it.

Short answer: Advantages: Scalability: MongoDB scales horizontally through sharding, which can handle large datasets across distributed clusters.

Explain a bit more

Flexibility: Schema-less design allows for dynamic data models and easier iteration during development. Performance: It can perform high-throughput reads and writes for large datasets. High Availability: Through replica sets, MongoDB ensures data availability and fault tolerance. Disadvantages: Consistency: By default, MongoDB uses eventual consistency, which may not be suitable for all applications (though it supports ACID transactions in some cases). Complexity in Transactions: While MongoDB now supports multi-document transactions, working with them is more complex compared to SQL. Data Duplication: The flexibility can sometimes lead to data duplication and inconsistency if not properly managed.

Real-world example (ShopNest)

ShopNest’s SQL Server database stores customers, products, and orders. Good indexes and clear foreign keys keep checkout queries fast and safe.

Say this in the interview

Define — one clear sentence (the short answer above).
Example — relate it to a project like ShopNest or your real work.
Trade-off — when you would not use it.

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