What characterizes a distributed database?

What characterizes a distributed database?

• A. Data is managed in a single location
• B. Data is quickly accessible across many nodes
• C. Data has high redundancy and duplication
• D. Data is restricted and not widely available

Answer: (B)

A distributed database is characterized by its ability to allow data to be quickly accessible across many nodes. This architecture enables data storage and processing to occur in different physical locations while still being part of a coherent system. The features of a distributed database include its capacity to handle requests and queries efficiently through various interconnected systems. This ensures that users can access the data they need regardless of where it is stored. The distribution of data across multiple nodes also contributes to fault tolerance, load balancing, and improved access speed—especially in scenarios where large volumes of data and multiple users are involved. In contrast, managing data in a single location leads to a centralized database, which lacks the scalability and accessibility that distributed systems provide. High redundancy and duplication in data storage typically arise in scenarios where data integrity and recovery are prioritized, but excessive redundancy can inhibit the efficiency of a system. Lastly, restrictions on data availability run counter to the principles of a distributed database, as one of its fundamental goals is to enhance access across different locations.

A distributed database is characterized by its ability to allow data to be quickly accessible across many nodes. This architecture enables data storage and processing to occur in different physical locations while still being part of a coherent system.

The features of a distributed database include its capacity to handle requests and queries efficiently through various interconnected systems. This ensures that users can access the data they need regardless of where it is stored. The distribution of data across multiple nodes also contributes to fault tolerance, load balancing, and improved access speed—especially in scenarios where large volumes of data and multiple users are involved.

In contrast, managing data in a single location leads to a centralized database, which lacks the scalability and accessibility that distributed systems provide. High redundancy and duplication in data storage typically arise in scenarios where data integrity and recovery are prioritized, but excessive redundancy can inhibit the efficiency of a system. Lastly, restrictions on data availability run counter to the principles of a distributed database, as one of its fundamental goals is to enhance access across different locations.