ETL MongoDB Atlas data with Designer Cloud

CATEGORY: Big Data & NoSQL      STATUS: Available


MongoDB Atlas is a fully-managed cloud database developed by the same people that build MongoDB Atlas.

ETL data from business-critical applications such as Salesforce, HubSpot, ServiceNow, Zuora, etc. into MongoDB Atlas in seconds. With Designer Cloud's MongoDB Atlas data connector, you can transform, automate, and monitor your MongoDB Atlas data pipeline in real-time. No code required.


Join MongoDB Atlas data with any data source

Combine datasets from any data source with your MongoDB Atlas data. Connect to any data - Trifacta's data integration workflow supports a wide variety of cloud data lakes, data warehouses, applications, open APIs, file systems, and allows for flexible execution, including SQL, dbt, Spark, and Python. Whether it's joining MongoDB Atlas data with your Salesforce CRM data, an Excel or CSV file, or a JSON file, Trifacta's visual workflow lets you interactively access, preview, and standardize joined data with ease.

MongoDB Atlas Screenshot

MongoDB Atlas to your data warehouse in minutes

ETL your MongoDB Atlas data to the destination of your choice.


No-code automation for your MongoDB Atlas data pipeline

Trifacta empowers everyone to easily build data engineering pipelines at scale. With a few simple clicks, automate your MongoDB Atlas data pipeline. No more tedious manual uploads, resource-intensive transformations, and waiting for scheduled tasks. Deploy and manage your self-service MongoDB Atlas data pipeline in minutes not months.

Ensure quality data every time.

No matter how you need to combine and transform data stored in MongoDB Atlas, ensure that the end result is high-quality data, every time. Trifacta automatically surfaces outliers, missing data, and errors and its predictive transformation approach allows you to make the best possible transformations to your data.

Schedule, automate, repeat.

Automate your MongoDB Atlas data pipelines with job scheduling so that the right data is in your MongoDB Atlas database when you need it. When new data lands in your MongoDB Atlas database, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.


"Designer Cloud allows us to quickly view and understand new datasets, and its flexibility supports our data transformation needs. The GUI is nicely designed, so the learning curve is minimal. Our initial data preparation work is now completed in minutes, not hours or days."


Use cases for the MongoDB Atlas data connector

  • ETL MongoDB Atlas data to Amazon Redshift

  • ETL MongoDB Atlas data to Google BigQuery

  • ETL MongoDB Atlas data to Snowflake

  • ETL MongoDB Atlas data to Databricks

  • ETL MongoDB Atlas data to MySQL

  • ETL MongoDB Atlas data to Microsoft Azure

  • Join MongoDB Atlas data with Google Sheets data

  • Prepare MongoDB Atlas data for data visualization in Tableau

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