Database Performance and Optimization

What is the acronym for the properties that relational databases must adhere to?

True or false: NewSQL databases can support distributed and multi-model features.

What is the acronym for the properties that relational databases adhere to?

What is the main disadvantage of using mainframe databases?

What type of databases are more affordable but may not have the best scale-up performance?

True or false: Database optimization does not include hardware aspects.

What type of databases are Google Spanner and NewSQL?

What technology is used for scale-out, but requires many code changes to the application?

True or false: An in-memory cache can be used to improve database performance.

What is one way to improve database performance?

True or false: Relational databases do not adhere to the ACID properties.

What is one way to improve database performance?

What can the Intel 3rd Xeon scalable platform processor provide for database performance?

What processor is a good choice for database performance?

True or false: Mainframe databases are more affordable than Hyper-converged Database appliances.

Relational databases are based on the relational model, strictly adhering to a-to-mi-city, consistency, isolation, and durability properties - which we call ACID.
Mainframe databases are outdated and expensive, while RISC+ DiskArrays and Hyper-converged Database appliances are more affordable but compromise on scale-up performance.
Middleware-based sharding is used for scale-out, but requires many code changes to the application.
NewSQL databases like Google Spanner were invented to support distributed and multi-model features.
In-Memory Data Grid is the future direction of Databases, and memory resources can be more easily pooled, accelerating the design and deployment of IMDG in the cloud.
Database optimization is an important part of keeping a database running at its best.
There are many aspects to database optimization, including architecture, hardware, application, and database engine aspects.
One way to improve database performance is by using an in-memory cache as a data layer between applications and databases.
Separation of storage and compute can also help improve database performance.
The Intel 3rd Xeon scalable platform processor is a good choice for database performance because it has more cores and higher frequency.

Test your knowledge about database performance, optimization techniques, and modern database solutions including ACID properties, sharding, NewSQL databases, in-memory data grid, and hardware choices for database performance.