Which open-source NoSQL database system is suitable for an online advertising company that needs to serve ads at a high volume?

Which open-source NoSQL database system is suitable for an online advertising company that needs to serve ads at a high volume?

• A. PostgreSQL
• B. MongoDB
• C. Microsoft SQL Server
• D. Redis

Answer: (B)

MongoDB is particularly well-suited for an online advertising company that requires serving ads at a high volume due to its design and capabilities. It is a document-oriented NoSQL database that holds advantages in handling large volumes of unstructured or semi-structured data, which is common in advertising scenarios. One key feature of MongoDB is its ability to scale horizontally. This allows it to distribute data across many servers, making it ideal for high-volume applications needing to handle massive datasets or spikes in read/write operations associated with ad serving. The flexible schema of MongoDB enables quick iterations on the data model, which is beneficial in a fast-paced advertising environment where requirements can evolve rapidly. Additionally, MongoDB’s built-in sharding and replica sets ensure high availability and performance, making it a reliable choice for serving a large number of requests efficiently. The aggregation framework enhances its capability to query and analyze data in real-time, further supporting the dynamic nature of online ads. In contrast, while PostgreSQL is a robust relational database with strong transactional support, its performance may not match that of MongoDB under high-volume ad serving conditions. Microsoft SQL Server, although a powerful relational database, also faces similar limitations in this high-demand context. Redis, while excellent for high-speed data

MongoDB is particularly well-suited for an online advertising company that requires serving ads at a high volume due to its design and capabilities. It is a document-oriented NoSQL database that holds advantages in handling large volumes of unstructured or semi-structured data, which is common in advertising scenarios.

One key feature of MongoDB is its ability to scale horizontally. This allows it to distribute data across many servers, making it ideal for high-volume applications needing to handle massive datasets or spikes in read/write operations associated with ad serving. The flexible schema of MongoDB enables quick iterations on the data model, which is beneficial in a fast-paced advertising environment where requirements can evolve rapidly.

Additionally, MongoDB’s built-in sharding and replica sets ensure high availability and performance, making it a reliable choice for serving a large number of requests efficiently. The aggregation framework enhances its capability to query and analyze data in real-time, further supporting the dynamic nature of online ads.

In contrast, while PostgreSQL is a robust relational database with strong transactional support, its performance may not match that of MongoDB under high-volume ad serving conditions. Microsoft SQL Server, although a powerful relational database, also faces similar limitations in this high-demand context. Redis, while excellent for high-speed data