Migrate Relational Databases
to MongoDB in Minutes

DBToMongo batch migrates 10+ relational databases to MongoDB with speed and security. Process millions of rows locally, support bulk migration, cross-platform, CLI, and scheduled tasks for enterprise-level efficiency.

🗄️ 10+ Supported Databases
Millions of Rows/Minute
🔄 Incremental Sync Support
🌍 Windows/Mac/Linux
Free 30-Day Trial Buy Now $75.00 or less

Supported Relational Databases

🟠

MySQL

MySQL to MongoDB

🔵

Oracle

Oracle to MongoDB

🟢

SQL Server

SQL Server to MongoDB

🟣

PostgreSQL

PostgreSQL to MongoDB

🟤

Access

Access to MongoDB

SQLite

SQLite to MongoDB

🔴

DB2

DB2 to MongoDB

🟡

DBF

DBF to MongoDB (dBase/FoxBase/Visual-FoxPro)

🔶

Redshift

Redshift to MongoDB

🔷

AZURE SQL

AZURE SQL to MongoDB

Powerful Enterprise-Grade Features

📤

Batch Migration Capability

Migrate multiple database tables to MongoDB collections in one click. Support recursive table scanning and automatic collection naming based on table names.

Blazing Fast Performance

Optimized algorithm processes millions of rows in minutes. Handle large relational databases without memory limits, even for 100GB+ datasets.

🔒

Local & Secure Processing

All data processing happens locally—no data transmission to cloud. Protect sensitive enterprise data with 100% privacy guarantee and ISO compliance.

🌍

Cross-Platform Support

Works seamlessly on Windows (32/64bit), Mac OS, and Linux (Debian/Ubuntu/Red Hat). Consistent experience across all operating systems.

💻

Command Line Interface

Automate migrations with CLI support. Integrate with scripts and batch processes for hands-free data migration workflows.

⏱️

Scheduled Sync Tasks

Set up daily/weekly scheduled sync tasks. Automate routine data migration and synchronization without manual intervention.

🔧

Custom Field Mapping

Customize table field to MongoDB document mapping, data type conversion, and field renaming to meet specific business requirements.

3 Simple Steps to Migrate to MongoDB

1

Connect to Source Database

Enter connection details for your relational database. Support authentication, SSL/TLS, and remote database connections.

2

Configure Mapping Settings

Select tables, map fields to MongoDB documents, and configure migration options (replace/append, data type conversion).

3

Start Migration

Click "Migrate" and monitor progress in real-time. Get completed MongoDB collections in minutes with full data integrity.

Frequently Asked Questions

How long does it take to migrate a relational database to MongoDB? +

DBToMongo processes millions of rows in minutes. The exact speed depends on your hardware, dataset size, and migration mode. A 1GB MySQL database typically takes 8-12 minutes to migrate to MongoDB.

Will data types be preserved during migration? +

Yes. DBToMongo automatically converts relational database data types to compatible MongoDB BSON types (e.g., VARCHAR to String, INT to NumberInt, DATETIME to Date). You can also customize type mapping in advanced settings.

Can I migrate data from cloud databases (AWS/Azure) to MongoDB? +

Absolutely. DBToMongo works with both on-premises and cloud-based relational databases (Amazon RDS, Azure SQL, Google Cloud SQL). Simply enter the cloud database connection string during setup.

What versions of MongoDB are supported? +

DBToMongo supports MongoDB 3.0 and above, including the latest versions (6.x and 7.x). It's compatible with all major MongoDB editions (Community, Enterprise, Atlas).

Is technical support included with purchase? +

Yes. All purchases include free technical support via email.

What Our Customers Say

"We migrated our 150GB Oracle production database to MongoDB using DBToMongo in just 8 hours—something that would have taken 3 days with open-source tools. The incremental sync feature keeps our MongoDB cluster up-to-date with zero data loss."

JS
James Sullivan

Data Architect @ FinTech Company

"As a DevOps engineer, I needed a reliable way to automate MySQL to MongoDB migrations for our microservices. DBToMongo's CLI integration fits perfectly into our CI/CD pipeline, and the scheduled sync saves us 15+ hours per week on manual data transfers."

AP
Amelia Parker

Senior DevOps Engineer @ E-commerce Platform

"We evaluated 5 different migration tools before choosing DBToMongo for its cross-platform support and data security. Our team uses a mix of Windows and Linux servers, and the consistent experience across OSes is invaluable. The support team resolved our SQL Server field mapping issue in under an hour."

RK
Rajesh Kumar

Database Administrator @ Healthcare Provider

Ready to Migrate Relational DB to MongoDB Effortlessly?

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