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MongoLoader bi-directionally transfers data: import from 10+ file formats (CSV/Excel/JSON/XML/SQL/...) to MongoDB, and export MongoDB collections to files. Bulk sync, local processing, cross-platform + CLI + Scheduled Tasks.
Seamlessly move data to and from MongoDB with support for all major file formats
Import to MongoDB
Import to MongoDB
Import to MongoDB
Import to MongoDB
Import to MongoDB
Export from MongoDB
Export from MongoDB
Export from MongoDB
Export from MongoDB
Export from MongoDB
Import multiple files to MongoDB collections in one click. Support recursive file scanning and automatic collection naming based on file names.
Optimized algorithm processes millions of rows in minutes. Handle large datasets without memory limits, even for 100GB+ CSV/Excel files.
Automatically map source file fields to MongoDB document fields. Preserve data types and formats 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.
Export entire MongoDB collections or filtered subsets (via queries) to multiple file formats. Support custom field selection and data transformation rules.
Export millions of MongoDB documents to files in minutes. Chunked processing handles large collections without memory constraints.
Customize export formats: adjust CSV delimiters, Excel sheet names, JSON structure to match your target system requirements.
Clean and transform MongoDB data during export: remove duplicates, format dates, convert data types, and apply custom validation rules.
Choose CSV/Excel/JSON/XML/TXT file. Support various encodings and file formats (xlsx/xls/csv/json/xml/txt).
Select target MongoDB collection, configure field mapping, and choose import mode (full/incremental).
Click "Import" and monitor progress in real-time. Get fully populated MongoDB collections in minutes.
Connect to MongoDB instance, select database and collections. Apply filters/queries to export specific documents.
Choose export file format, customize field selection, set transformation rules, and select export mode (full/incremental).
Click "Export" and track progress. Get clean, formatted output files ready for use.
Export to Excel, let the business edit it, load it back with update or upsert - so a round trip refreshes documents instead of duplicating them.
Remove duplicates, format dates, convert types and apply validation rules while exporting - instead of cleaning the same spreadsheet every week.
A collection out to CSV, Excel, JSON, XML, HTML or SQL, and files in with automatic mapping and insert/update/upsert - one tool, one licence.
100GB+ CSVs and collections of millions of documents, processed in chunks in both directions, on an ordinary machine.
By direction: MongoDB to CSV, MongoDB to Excel, CSV to MongoDB, Excel to MongoDB. One direction only: MongoToFile (out), FileToMongo (in); databases: DBToMongo, MongoToDB - the full set is on the MongoDB tools page.
MongoLoader processes millions of rows in minutes. The exact speed depends on your hardware, dataset size, and import mode. A 1GB CSV file typically takes 7-10 minutes to import to MongoDB (full import) or 2-3 minutes for incremental sync.
Yes. MongoLoader automatically maps source file fields to MongoDB document fields. It detects data types (string, number, date, boolean) and preserves field names and formats. You can also customize field mapping in advanced settings.
MongoLoader supports exporting MongoDB collections to CSV, Excel (xlsx/xls), JSON, XML, TXT, and SQL file formats. You can customize field selection, formatting, and data transformation rules for each export format.
Yes. You can apply MongoDB query filters to export only specific documents (e.g., orders from 2024) and select individual fields to include/exclude in the export file. This reduces file size and processing time for targeted data exports.
Yes. All purchases include free technical support via email for both import and export functionality.
Choose the collection, pick the output format (CSV, TSV, Excel, JSON, XML, HTML or SQL) and the output file, and run. Nested documents and arrays are flattened into columns, so the result opens as a normal table.
Point MongoLoader at the CSV file and the target collection, check the automatic field mapping, and choose insert, update or upsert. Existing collections can be updated in place instead of being loaded twice.
mongoexport and mongoimport are the official MongoDB command-line utilities - ideal in a shell, limited to JSON and CSV. MongoLoader adds a GUI, Excel, XML and other formats, field mapping, update and upsert, batch jobs, a command line and scheduled tasks.
"We imported our 120GB CSV customer database file to MongoDB using MongoLoader in just 6 hours—something that would have taken 2 days with custom scripts. The automatic field mapping feature saved our team 40+ hours of manual data preparation."
"MongoLoader's export feature transformed our reporting workflow—we now export MongoDB analytics data to Excel files in 15 minutes (down from 2 hours with custom scripts). The incremental export feature ensures we only get new data, saving storage and processing time."
"We use MongoLoader for both importing CSV/Excel files to MongoDB and exporting MongoDB analytics to Excel/CSV files. The cross-platform support (Mac/Linux/Windows) and CLI automation fit perfectly into our hybrid cloud workflow. Support resolved our export formatting issue in under an hour."
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