Open Source Data Modeling

Open source databases offer new approaches to data management for today’s world of Big Data applications. This newer generation of open source databases, known as NoSQL, offers many advantages over relational databases. Key among these is a flexible data model that lets you wrangle the large volume and variety of data generated by modern applications. Relational databases, in contrast, require you to define your schema upfront and are difficult to quickly update to adapt to a rapidly changing business environment.

A flexible data model imparts many advantages, including:

  • Being able to easily incorporate new types of data into the system
  • Eliminating the need for time-consuming updates to the existing data in the system
  • Being able to create a single view of data from disparate data sources

The leading NoSQL database is MongoDB according to several measures such as the DB-Engines ranking and the recent Gartner Magic Quadrant report. MongoDB offers a flexible document data model that doesn’t require a pre-defined schema and allows you to easily iterate without application downtime.

MongoDB is a database built for today’s applications. With MongoDB, you can dynamically modify the schema to incorporate new data types, simplify your design and reduce the overall effort to develop applications.

Read our architecture white paper to discover the benefits of our open source data model.