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What is Relational Migrator

MongoDB Relational Migrator is a free tool to help you migrate data from a relational database to MongoDB. With Relational Migrator, you can:

  • Transform your data

    Define a new MongoDB schema for your data, or start with a recommended one and customize it to suit your needs.

  • Easily migrate to MongoDB

    Migrate data from popular relational databases like Oracle, SQL Server, MySQL, PostgreSQL, and others to MongoDB Atlas or a self-managed deployment.

  • Generate application code

    Get MongoDB-compatible code for entity classes, persistence layers, and APIs.

  • Convert SQL database objects with Generative AI

    Convert SQL queries, procedures, and views -- then, validate them.


Download Relational Migrator
An image of documents moving from one stack to another
What You Can Do

Migrate Your Relational Workloads to MongoDB

1

Design Your New Schema

Use the Mapping screen's entity-relationship diagrams to define a new schema, or start with a recommended schema and customize it. Define new fields, split or merge table data, or denormalize foreign key relationships as embedded documents and arrays.

2

Apply Custom Mapping Rules

Use custom mapping rules to denormalize your relational schema, or incorporate multiple tables into a single MongoDB collection for improved data access and query performance.

An entity-relationship diagram in Relational Migrator
1

Migrate From Your Relational Database

Migrate data from relational databases like Oracle, SQL Server, MySQL, PostgreSQL, and others to MongoDB Atlas or a self-managed deployment.

2

Migrate Once, or Synchronize

Choose between a snapshot migration, or continuous synchronization with Change Data Capture (CDC). Verify data integrity within Relational Migrator and integrate with Apache Kafka or Confluent Cloud for large-scale migrations.

The data migration UI in Relational Migrator
1

Select a Language and Framework

Choose from languages like C#, Java, and JavaScript. Code generation templates support JSON output and common application frameworks like Spring Data, Node, Mongoose, and more.

2

Automatically Generate Application Code

Instantly generate MongoDB-compatible application code for entity classes, persistence layers, and APIs.

A generated code example
1

Use Generative AI to Convert SQL Database Objects

Convert SQL queries, views, and stored procedures into MongoDB-compatible code for C#, Java, or JavaScript.

2

Validate Converted Code

Test queries within Relational Migrator to validate converted SQL and ensure compatibility with MongoDB.

A query converted from SQL to MQL
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