You can use a relational database model to create a scalable and consistent solution for your data.
If you’re using the Microsoft Azure ADO.NET database and your team is using Proquest, this is the right way to go.
Pros: The database model is designed to be scalable, meaning that each query can be processed in parallel to provide the best performance and reduce latency.
The model is available in multiple languages, allowing you to use it with different database frameworks, which is a huge plus.
Cons: You’ll need to choose one of the many SQL Server databases to use for the database.
There are a variety of database frameworks available that you may not want to use if you’re not using Microsoft Azure.
The price of this database is very high compared to other solutions.
Pros The database has been designed for a high volume of queries and is available to many different languages.
Pros It has a strong, consistent architecture and is supported by a wide range of databases.
Cons The price is a little high compared with other options, and it’s limited to just SQL Server and Microsoft Azure databases.
Pros Relational databases are very scalable.
Pros They’re very flexible and have multiple databases available.
Cons They’re a bit of a pain to setup and maintain.
Pros You can create the database yourself or with a third-party database provider.
Cons You’ll have to set up and maintain the database for the first time.
Pros Allows you to quickly create new queries and queries that scale up and down.
Cons Does not have a robust data warehouse.
Pros Available in a variety to choose from, allowing users to create, update, and query their database.
Cons Not widely used.
Pros Large databases are available.
Pros Easy to setup, especially for large teams.
Pros Cons Data warehousing and backup options are limited.
Pros Availability is limited to only a few languages, including the SQL Server standard, so you may have to create the same schema and database as your team in another language.
Pros Scalable and consistent.
Pros A powerful database with many features.
Cons No native data warehouse support.
Pros High volume of data.
Pros No native database support.