Parallel vs Distributed Database

What is a parallel database?

• A parallel database is a database system that divides the workload across multiple processors or servers.

• A parallel database is a database system that only allows one user to access the data at a time.

• A parallel database is a database system that stores data in a sequential manner.

• A parallel database is a database system that does not support data replication.

What is a distributed database?

• A distributed database is a database that is stored on a single computer or server.

• A distributed database is a database that is only accessible through a local network.

• A distributed database is a database that is spread across multiple computers or servers.

• A distributed database is a database that does not require any network connectivity.

What is the main difference between parallel and distributed databases?

• Parallel databases are used for small-scale applications, whereas distributed databases are used for large-scale applications.

• In a parallel database, a single database is divided into multiple parts and processed simultaneously, whereas in a distributed database, multiple independent databases work together as a single database.

• In a parallel database, multiple independent databases work together as a single database, whereas in a distributed database, a single database is divided into multiple parts and processed simultaneously.

• Parallel databases are more efficient than distributed databases.

What are the advantages of using a parallel database?

• Decreased performance and scalability

• Limited storage capacity

• Higher cost

• Improved performance and scalability

What are the advantages of using a distributed database?

• Decreased scalability, decreased availability and fault tolerance, worse performance, and more difficult data management.

• Improved scalability, increased availability and fault tolerance, better performance, and easier data management.

• Increased complexity and higher costs.

• No advantages at all.

What are the disadvantages of using a parallel database?

• Increased complexity, higher cost, and potential performance issues

• Limited scalability, slower data retrieval, and increased maintenance requirements

What are the disadvantages of using a distributed database?

• Increased network traffic, longer response time, limited data availability

• Increased complexity, higher cost, potential for data inconsistency, and difficulty in maintaining data integrity.

• Reduced data security, slower data access, limited data storage capacity

• Decreased scalability, lower performance, limited fault tolerance

What are some examples of parallel databases?

• Apache Hadoop, Apache Cassandra, Google Bigtable

• SQLite, Microsoft Access, FileMaker

• MongoDB, Redis, Elasticsearch

• MySQL, PostgreSQL, Oracle

What are some examples of distributed databases?

• SQLite, Redis, Elasticsearch

• MySQL, PostgreSQL, Oracle

• Apache Cassandra, MongoDB, Google Spanner

• Hadoop, Spark, Hive

Which type of database is more suitable for handling big data?

• in-memory database

• distributed database

• NoSQL database

• relational database