Relational Migrator

The tool uses an intelligent, step-by-step process to streamline data migrations.

Learn about code generation

Relational Migrator translates SQL queries to the MongoDB Aggregation Pipeline. The tool analyzes existing SQL code and generates the equivalent code to query your new documents.

Relational Migrator translates SQL queries to the MongoDB Aggregation Pipeline. The tool analyzes existing SQL code and generates the equivalent code to query your new documents.

Learn about code generation

SQL

JavaScript

Code Snippet

Integrate Relational Migrator into your existing workflows with a full-featured REST API.

Shell
Code Snippetcurl \
 --request POST 'http://127.0.0.1:8278/api/v1/analysis/{projectId}/task' \
 --header "Content-Type: application/json" \
 --data '{"jdbcConnectionDetails":{"id":"string","type":"ORACLE","url":"string","user":"string","password":"string","savePassword":false,"existingConnectionId":"string","oraclePdbName":"string","isManualUri":false}}'

SQL

JavaScript

Code Snippet

Relational Migrator customer successes

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Modernization

"We used gen AI with MongoDB to reduce the migration times for legacy applications by 90% so we can respond really quickly to our 2.5 million customers."

Andrew Cresp
CIO, Bendigo and Adelaide Bank

Modernization

"We used gen AI with MongoDB to reduce the migration times for legacy applications by 90% so we can respond really quickly to our 2.5 million customers."

Andrew Cresp
CIO, Bendigo and Adelaide Bank

Simplicity

"The Relational Migrator is very simple to use. It's just a user console—anyone with basic knowledge can use it. That's the best part of it. The whole migration was very fast. We saved at least 50% of our effort using Relational Migrator."

Neha Yadav
Lead Engineer, Nationwide Building Society

Seamless

"Relational Migrator enabled our teams to upgrade, downgrade, test, and reconfigure without any service disruption or downtime, streamlining our development process."

Francesco Pagetti
Solutions Architect, Powerledger

Learning hub

Tutorials, videos, and guides to quickstart your migration with Relational Migrator.

Identify potential migration risks early

Pre-migration analysis identifies data and configuration risks and recommends steps for a successful MongoDB migration.

Watch the demo

Map a relational schema to MongoDB

Learn how to easily map your relational database schema to MongoDB with Relational Migrator on MongoDB University.

Take the course

How to migrate from relational databases to MongoDB

See the process of migrating a relational database model from PostgreSQL to MongoDB using Relational Migrator.

Watch tutorial

Get professional help

Preparing to migrate large-scale or mission-critical applications? Let our expert team guide you through the process.

Learn how

Relational Migrator use cases

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MongoDB for Artificial Intelligence

Power your AI applications by migrating your operational and transactional data from legacy relational databases to a unified data platform with MongoDB.

Financial Services

Modernize financial services

Move legacy data from siloed relational databases into MongoDB, creating a unified foundation for modern, AI-driven financial applications.

Retail

MongoDB for retail innovation

Build modern consumer experiences and make your data work for your business and your customers.

FAQ

Relational Migrator is a tool designed to help you migrate data from a relational database to MongoDB. It simplifies this process by providing a graphical user interface to discover your source schema, map to a target MongoDB schema, and synchronize your data.

Download the tool

Yes. We also offer our MongoDB Application Modernization Platform (AMP). AMP helps you modernize both application logic and data architecture up to three times faster than traditional methods, so you can pay down technical debt and free up IT spend for innovation and faster time to market.

Relational Migrator supports migrations from Oracle, Microsoft SQL Server, MySQL, DB2, Sybase, and PostgreSQL.

No, Relational Migrator uses generative AI to convert SQL-based relational database code to work with MongoDB. The converted code takes into consideration the mapping rules and schema transformations defined in your project.