No-code pipeline · MongoDB → Google Sheets

Send data from MongoDB to Google Sheets

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From MongoDB to Google Sheets: managed, scheduled, no code.
Creating a pipeline that sends data from MongoDB to Google Sheets spreadsheets takes only a few minutes with Kondado. And the whole integration from MongoDB to Google Sheets is managed and executed by our platform. With Kondado, you can focus on extracting value from MongoDB data and combining it with other data in your Google Sheets spreadsheet

Connect MongoDB to Google Sheets Automatically

To send MongoDB data to Google Sheets, you need a data replication platform that connects your NoSQL database to your spreadsheet workspace. Kondado provides a direct pipeline between MongoDB and Google Sheets, allowing you to replicate collections and views automatically on a configurable schedule. Simply authenticate your MongoDB instance or Mongo Atlas cluster, select the collections you want to export, and configure your destination spreadsheet. The platform handles the schema mapping and data transformation, delivering structured documents into rows and columns without manual coding.

Kondado replicates MongoDB collections and views to Google Sheets on a configurable schedule ranging from every 5 minutes to daily, enabling teams to analyze document-based data using spreadsheet formulas and collaborative features.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

With the Collections & Views pipeline, you can replicate your entire MongoDB dataset or specific collections into Google Sheets for immediate analysis. Transform your document store into actionable spreadsheets where marketing teams can calculate campaign ROI from user behavior collections, product managers can track feature adoption metrics from event logs, and sales operations can enrich lead scoring models with historical transaction data. This pipeline automatically flattens nested JSON structures into tabular format, making complex NoSQL data accessible for pivot tables, charting, and sharing across departments that rely on spreadsheet-based workflows without writing aggregation queries.

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Replicated to Google Sheets

Dynamic data

Kondado automatically reads the schema of your MongoDB. All tables, views, and fields available in your account are extracted without manual configuration.

1
available pipeline
Google Sheets
Destination

What Kondado extracts

Collections & Views
Kondado automatically maps all collections and views in your database

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How to send MongoDB data to Google Sheets

Sync data automatically — no code, no manual exports.

1
Connect Your MongoDB Source

Enter your MongoDB connection string or Atlas cluster details into Kondado's MongoDB data source configuration, providing the necessary authentication credentials to establish read access to your collections.

2
Configure Google Sheets Destination

Specify your target spreadsheet by connecting your Google account and selecting the workbook where you want your Google Sheets data to land, defining the exact sheet tabs for each collection.

3
Select Collections and Set Schedule

Choose which collections and views to replicate from your database, then set your preferred update frequency ranging from 5 minutes to daily, enabling automated data refresh without further manual intervention.

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Frequently Asked Questions (FAQ)

Answers about sending MongoDB data to Google Sheets automatically

How does MongoDB to Google Sheets replication work?
Kondado connects directly to your MongoDB instance or Atlas cluster using your connection string and authentication credentials. Once connected, the platform reads your selected collections and views, transforms the document structure into a tabular format compatible with spreadsheets, and loads the data into your specified Google Sheets workbook. Updates run automatically on your chosen schedule, appending or refreshing rows based on your configuration without requiring manual exports or CSV uploads.
What MongoDB data can I replicate to Google Sheets?
You can replicate any collection or view from your MongoDB database through the Collections & Views pipeline. This includes user activity logs, transaction records, product catalogs, or custom views you've created to aggregate specific metrics. The pipeline automatically detects new collections added to your database, allowing you to include them in your replication with a simple configuration change.
How often does MongoDB data update in Google Sheets?
Kondado offers flexible scheduling options ranging from every 5 minutes to daily intervals, depending on your business requirements. You can configure different update frequencies for different collections, ensuring high-velocity data streams update frequently while historical reference tables refresh less often. This keeps your spreadsheets current without overwhelming your database with excessive read operations.
Does MongoDB data appear as JSON or rows in Google Sheets?
The data appears as structured rows and columns, not raw JSON documents. Kondado automatically flattens nested objects and arrays into separate columns, using dot notation or array expansion to ensure every field becomes accessible for standard spreadsheet functions. This transformation makes your NoSQL data compatible with VLOOKUP, pivot tables, and charting tools native to Google Sheets.
Can I combine MongoDB data with other sources in Google Sheets?
Yes, you can blend MongoDB data with information from additional sources by setting up multiple pipelines into the same or different sheets within your workbook. Combine customer data from MongoDB with advertising metrics from Facebook Ads, or enrich your document-based records with CRM data from Salesforce. You can also send data to BigQuery or PostgreSQL for advanced analytics while maintaining your Google Sheets copies for business users.
Do I need to know MongoDB query syntax to use this pipeline?
No coding or MongoDB query language knowledge is required to configure the pipeline. Kondado provides a visual interface where you select collections and views from a dropdown menu, eliminating the need to write aggregation pipelines or find commands. The platform handles all data extraction and transformation automatically, making NoSQL data accessible to spreadsheet users regardless of their technical background.
What happens when my MongoDB schema changes?
When you add new fields to your MongoDB documents, Kondado detects these changes during the next scheduled update and can automatically add corresponding columns to your Google Sheets. The pipeline adapts to schema evolution without breaking existing spreadsheet formulas or requiring manual column adjustments. You can review schema changes in the platform interface before they are applied to ensure your reports maintain data integrity.

Try out all the features for free for 14 days

Try out all the features for free for 14 days