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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.
DBF to MongoDB (dBase/FoxBase/Visual-FoxPro)
Redshift to MongoDB
AZURE SQL to MongoDB
Migrate multiple database tables to MongoDB collections in one click. Support recursive table scanning and automatic collection naming based on table names.
Optimized algorithm processes millions of rows in minutes. Handle large relational databases without memory limits, even for 100GB+ datasets.
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.
Set up daily/weekly scheduled sync tasks. Automate routine data migration and synchronization without manual intervention.
Customize table field to MongoDB document mapping, data type conversion, and field renaming to meet specific business requirements.
Enter connection details for your relational database. Support authentication, SSL/TLS, and remote database connections.
Select tables, map fields to MongoDB documents, and configure migration options (replace/append, data type conversion).
Click "Migrate" and monitor progress in real-time. Get completed MongoDB collections in minutes with full data integrity.
Every table becomes its own collection, every row a document - one run, with the destination names and the field mapping shown before anything is written.
Legacy databases split by year, month or region leave the same table repeated everywhere. Combine the similar tables into a single collection in one pass.
Rename a field, change its type, drop a legacy column - during the migration, so the documents arrive in the shape the application expects.
The relational database is still the system of record. Re-run the saved task on a schedule with update, so the MongoDB side stays current.
By source database: MySQL to MongoDB, SQL Server to MongoDB, Oracle to MongoDB. One collection only: query to collection. Other MongoDB tasks: MongoLoader, FileToMongo, MongoToFile - the full set is on the MongoDB tools page.
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.
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.
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.
DBToMongo supports MongoDB 3.0 and above, including the latest versions (7.x and 8.x). It's compatible with all major MongoDB editions (Community, Enterprise, Atlas).
Yes. All purchases include free technical support via email.
Connect to the MySQL database and to MongoDB, choose the tables (or the whole database), check the field mapping, and run. Each table becomes a collection and each row becomes a document.
The same way: DBToMongo connects to SQL Server and Oracle as well as MySQL, PostgreSQL, SQLite, DB2 and Access. Similar tables can be merged into one collection, and the migration can be scheduled to keep the two sides in sync.
A script is fine for a one-off table. DBToMongo adds a GUI, a field mapping you can review before anything is written, batch migration across many tables, a command line for scripting and scheduled sync tasks.
"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."
"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."
"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."
Ready to Migrate Relational DB to MongoDB Effortlessly?
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