No-code pipeline · MongoDB → BigQuery

Send data from MongoDB to BigQuery

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From MongoDB to BigQuery: managed, scheduled, no code.
Creating a pipeline that sends data from MongoDB to BigQuery data warehouses takes only a few minutes with Kondado. And the whole integration from MongoDB to BigQuery 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 BigQuery data warehouse

Send MongoDB Data to BigQuery

To send MongoDB data to BigQuery, Kondado provides a no-code solution that streamlines your data workflow. Our platform enables agency analysts and marketing teams to replicate NoSQL database information directly into Google’s serverless data warehouse, keeping your analytics projects current with automated updates on your preferred schedule.

With just a few clicks, you configure the replication of collections and views from your MongoDB or Mongo Atlas database. Kondado handles the extraction, transformation, and loading processes, allowing your operations team to focus on generating actionable insights rather than managing complex data infrastructure.

Kondado replicates MongoDB data to BigQuery on a configurable schedule, enabling data analysts to build custom dashboards that combine NoSQL information with other sources available through the platform.

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

Through the Collections and Views pipeline, you can replicate complete JSON documents to perform deep user behavior analysis. Traffic managers can correlate session data stored in MongoDB with advertising campaign metrics, while sales leaders track conversion funnels with near-real-time updates. Additionally, combining these pipelines with data from other sources in Kondado allows you to build unified reports connecting application events to financial transactions.

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Replicated to BigQuery

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
BigQuery
Destination

What Kondado extracts

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

Try out all the features for free for 14 days

How to send MongoDB data to BigQuery

Sync data automatically — no code, no manual exports.

1
Connect MongoDB on Kondado

Navigate to the data sources page and select MongoDB to begin your connection. Enter your database credentials, including connection strings for MongoDB Atlas or details for self-hosted servers.

2
Configure BigQuery as destination

Choose BigQuery as your data destination and provide the necessary permissions in your Google Cloud account. Specify the project and dataset where your MongoDB data will be stored.

3
Select data and set update schedule

Choose which collections and views you want to replicate and configure your desired update frequency. Activate the pipeline to keep your MongoDB data flowing to BigQuery automatically on your configured schedule.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado
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Send data from MongoDB to other destinations

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Frequently Asked Questions (FAQ)

Answers about sending MongoDB data to BigQuery automatically

How does the MongoDB to BigQuery pipeline work?
Kondado connects to your MongoDB or Mongo Atlas database and replicates selected data to BigQuery on a configurable schedule. You choose which collections and views to replicate, and our platform maintains these datasets automatically without requiring any coding.
What MongoDB data can I replicate to BigQuery?
You can replicate all collections and views available in your MongoDB database. This includes complete JSON documents, user histories, event logs, and any data structure stored in your collections, preserving the flexibility of your NoSQL model while enabling SQL analytics.
How often is data updated in BigQuery?
Update frequency is fully configurable based on your business needs. You can set intervals of 5 minutes, 15 minutes, hourly, or daily, ensuring your data stays current for analysis without overwhelming your source systems with excessive queries.
What format does MongoDB data arrive in at BigQuery?
JSON documents from MongoDB are transformed into a tabular format compatible with BigQuery SQL queries. Kondado preserves the integrity of nested objects and arrays, making it easy to run complex analytics directly in your data warehouse.
Can I combine MongoDB data with other sources in BigQuery?
Yes, Kondado allows you to replicate data from over 80 different sources into the same BigQuery project. You can join MongoDB information with CRM data, advertising platforms, and other business tools to create comprehensive, cross-functional analytics.
Do I need coding skills to use the MongoDB BigQuery integration?
No coding knowledge is required. Kondado's intuitive interface allows data analysts and marketing managers to configure replication in minutes, connecting MongoDB to BigQuery without relying on specialized technical teams.
Does Kondado work with MongoDB Atlas?
Yes, the platform supports both self-hosted MongoDB instances and databases hosted on MongoDB Atlas. Simply provide your connection credentials and Kondado will establish automated replication to BigQuery.

Try out all the features for free for 14 days

Try out all the features for free for 14 days