Question:

Which type of database is suitable for handling large volumes of unstructured data?

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NoSQL (Non-relational Database) is ideal for Big Data, cloud applications, and unstructured information.
Updated On: Jun 10, 2026
  • Relational database
  • Network database
  • Non-relational database
  • Hierarchical database
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The Correct Option is C

Solution and Explanation

Concept: Modern applications generate enormous amounts of data including videos, social media posts, images, audio files, sensor readings, and documents. Such information is often unstructured and does not fit neatly into traditional tables.

Step 1: Understand unstructured data. Unstructured data refers to data that lacks a fixed format or predefined schema. Examples include:

• Images.

• Videos.

• Social media content.

• Emails.

• Multimedia files.

Step 2: Understand Non-relational Databases. Non-relational databases (NoSQL databases):

• Handle large-scale data efficiently.

• Store semi-structured and unstructured data.

• Provide flexible schemas.

• Support distributed computing environments.

Step 3: Evaluate the alternatives. Relational databases work best with structured data organized into tables. Network and hierarchical databases are less suitable for modern large-scale unstructured data applications. Therefore, non-relational databases are preferred.

Step 4: Conclusion. The most suitable database type for handling large volumes of unstructured data is the non-relational database. Hence, option (C) is correct.
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