The database has always been the heart of an application. Teams recognize that the choice of a database is one of the most critical decisions in developing software, influencing not only the speed at which developers can build and iterate, but also an application’s performance, functionality, and overall user experience.
Today, tens of thousands of organizations are being held back by their legacy systems built on relational databases. They struggle with the headaches, high costs, and poor developer agility caused by data silos and architecture sprawl built up over decades as they try to address new requirements and build transformative experiences.
Modernizing the data infrastructure means reducing architectural complexity, and adopting flexible data platforms like MongoDB that can support a wider range of use cases and data types. But every IT leader knows that transitioning away from legacy databases is easier said than done, and that they are often overwhelming and time-consuming projects. This is even more true when trying to shake the relational database mindset and instead adopt a developer-first approach to data.
MongoDB's Relational Migrator is now available to help organizations streamline their transition from relational databases to MongoDB by tackling some of the most common challenges we see in migration projects: effective data modeling, migrating data, and modernizing app code. Today, Relational Migrator supports migrations from Oracle, SQL Server, MySQL, and PostgreSQL directly.
By switching to MongoDB, companies can reap major rewards when it comes to modernizing an essential component of their software. Not only do they enjoy faster development and performance, but also improved reliability, scalability, and user experience. Additionally, MongoDB's advanced features, such as full-text search, time-series data support, and edge-to-cloud synchronization enable applications to take on more use cases on an efficient, easy-to-maintain data infrastructure.
With Relational Migrator, teams preparing for app modernization projects can accelerate and reduce the risk of their relational database migrations so they can start taking advantage of everything MongoDB has to offer.
Take the guesswork out of the migration process
Data modeling in MongoDB is one of the most common barriers we see when organizations come over from a relational background. MongoDB can be treated like a relational database, but to unlock the full potential of the document model organizations need to change how they think about their data and model it for how their applications are going to use it.
Relational Migrator takes the guesswork out of data modeling by analyzing an application's existing relational schema and proposing a recommended MongoDB schema based on best practices. As teams use the visual interface to compare and build their schema, Relational Migrator will continue to offer recommended mappings to further expedite schema design, but more importantly, help developers do it well.
Not only does Relational Migrator visually compare schemas, but it also applies the transformations as it moves data into MongoDB in an efficient manner, providing users with the ability to run both systems in parallel and apply changes from the source database to MongoDB on an ongoing basis.
Migrating data is only one part of application modernization. To give developers a head start, Relational Migrator even generates app code for various development languages and frameworks that reflects the new MongoDB schema they’ve designed.
With the launch of Relational Migrator, MongoDB is unlocking the full potential of its powerful developer data platform, providing new implementation possibilities for customers and a wider range of applications.