Relational Migrator. Migrate to MongoDB with confidence.

Accelerate your shift from legacy relational systems to a modern developer data platform. Streamline schema design, code generation, and data migration with Relational Migrator.

It supports migrations from popular SQL databases, including Oracle, SQL Server, MySQL, PostgreSQL, Sybase, and IBM DB2, to any self-managed MongoDB deployment or MongoDB Atlas.

Simplify your data architecture Relational Migrator addresses common migration and data modeling challenges, de-risking your transition to MongoDB while helping you take full advantage of the document model.

• Migrate from Oracle, SQL Server, MySQL, PostgreSQL, and SAP ASE/Sybase ASE
• Migrate to any Atlas or self-managed MongoDB deployment
• Reimagine complex relational schemas as MongoDB documents

Features

• **Design an effective MongoDB schema: **Relational Migrator analyzes your relational schema and gives recommendations for mapping to a new MongoDB schema. Use the visual interface to consolidate your large number of tables into a smaller number of collections by using embedded documents and arrays.
• **Seamlessly migrate and transform data to MongoDB: **Create snapshot or continuous sync jobs to migrate data from your relational database to a target MongoDB cluster based on your new schema mapping. After migrating, conduct data validation right from Relational Migrator.
• **Get a head start on application modernization: **Relational Migrator can assist you with writing new code or updating existing code to work with MongoDB. Generate Java, JavaScript, and C# code from your new data model, and convert existing SQL queries, triggers, and stored procedures to MongoDB Query API syntax.
• **Convert SQL queries using generative AI: **Relational Migrator helps convert existing SQL queries, triggers, and stored procedures. Query Converter is available for free for anyone to try as part of a public preview in the Relational Migrator tool.