Modern applications require flexible schema to accommodate the great variety of data types that exist today – e.g., emails, texts, videos, social media content, and much more. Database schema design is an important step in building any application because it determines the way that application handles data.
Older relational technology requires you to define your schema upfront. But given the variety of data that exists today and the new data types that will inevitably pop up tomorrow, the relational approach is too rigid. You run the risk of becoming quickly outdated when you try to apply the old relational model to this new generation of Big Data applications.
This is where NoSQL databases, such as MongoDB, come in with flexible schema design which allows you to incorporate data without having a predefined schema. With this innovation, you can easily add new or different types of data to your application without any interruption to your application.
For this reason and more, enterprises are increasingly investing in NoSQL technology to do more with their data. With over 10 million downloads and hundreds of thousands of deployments, MongoDB is the top choice for those looking to build modern applications that can tackle the challenges of Big Data.
MongoDB’s document data model allows you to incorporate any type of data into the system while also offering rich indexing features and sophisticated data access. With MongoDB, you don't need to reinvent the wheel as your business requirements change and evolve over time.
To learn more about the database schema design tool in MongoDB and its benefits, read our white paper.