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MongoToDB batch migrates MongoDB data to 10+ relational databases with speed and security. Process millions of rows locally, support incremental sync, cross-platform, CLI, and scheduled tasks for enterprise-level efficiency.
MongoDB to Redshift
MongoDB to AZURE SQL
Migrate multiple MongoDB collections to relational database tables in one click. Support recursive collection scanning and automatic table naming based on collection names.
Optimized algorithm processes millions of rows in minutes. Handle large MongoDB datasets without memory limits, even for 100GB+ databases.
Automatically create relational database tables based on MongoDB collection structure. Preserve data types and relationships with zero manual configuration.
All data processing happens locally—no data transmission to cloud. Protect sensitive enterprise data with 100% privacy guarantee and ISO compliance.
Works seamlessly on Windows (32/64bit), Mac OS, and Linux (Debian/Ubuntu/Red Hat). Consistent experience across all operating systems.
Automate migrations with CLI support. Integrate with scripts and batch processes for hands-free data migration workflows in DevOps pipelines.
Set up daily/weekly scheduled sync tasks. Automate routine data migration and synchronization between MongoDB and relational databases.
Enter MongoDB connection string or select local instance. Support authentication, SSL/TLS, and MongoDB Atlas connections.
Select target relational database, configure table mapping, and choose migration mode (full/incremental).
Click "Migrate" and monitor progress in real-time. Get fully populated relational database tables in minutes.
MongoToDB processes millions of rows in minutes. The exact speed depends on your hardware, dataset size, and migration mode. A 1GB MongoDB collection typically takes 7-10 minutes to migrate to MySQL.
Yes. MongoToDB automatically creates tables in the target relational database based on MongoDB collection structure. It maps BSON data types to compatible SQL types and preserves field names and relationships. You can also customize table schema in advanced settings.
Absolutely. MongoToDB works with both local and cloud-based MongoDB instances (Atlas) and cloud relational databases (Amazon RDS, Azure SQL, Google Cloud SQL). Simply enter the connection strings for both systems during setup.
Yes. MongoToDB handles nested documents by either flattening them into the main table (with dot notation for field names) or creating related child tables to preserve the hierarchical structure—whichever best fits your target database schema.
Yes. All purchases include free technical support via email.
"We migrated our 120GB MongoDB customer database to SQL Server using MongoToDB in just 6 hours—something that would have taken 2 days with custom scripts. The automatic table creation feature saved our team 40+ hours of manual schema design."
"As a DevOps engineer, I needed a reliable way to sync MongoDB analytics data to PostgreSQL for reporting. MongoToDB's CLI integration fits perfectly into our nightly sync pipeline, and incremental sync reduced processing time from 2 hours to 15 minutes."
"We evaluated 4 different migration tools before choosing MongoToDB for its cross-platform support and nested document handling. Our team uses a mix of Mac and Linux servers, and the consistent experience across OSes is invaluable. The support team resolved our Oracle migration issue in under an hour."
Ready to Migrate MongoDB to Relational DB Effortlessly?
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