Designing a database schema is one of the important first steps in the design phase of an application. Choosing the right one not only affects the application’s performance, it also determines how flexible your application is to adapt to future requirements or evolving business needs.
Schema design in traditional relational databases must be determined upfront before any data can be added to the application. This inflexible approach makes it hard to update your application to meet new data types. If you can’t keep up in today’s world of Big Data and ever evolving data types you risk losing out to the competition.
When designing a database schema for your application, consider using the flexible schema design of the newer generation of NoSQL databases. A flexible data model is better suited to handle the large volume and variety of data typically generated by modern applications.
A flexible data model lets you:
- Quickly adapt to the evolving needs of the business
- Simplify combining data from multiple sources
- Save time updating existing data and incorporating new types of data into your system
MongoDB, the leading NoSQL database, offers a document data model that allows for iterative and adaptive data modeling without a predefined schema. With MongoDB, you can dynamically modify the schema without interruption, simplify your design and reduce the overall effort to develop applications.
To learn more about designing a database schema with MongoDB read the white paper or contact us.
