No-code pipeline · MongoDB → PostgreSQL

Send data from MongoDB to PostgreSQL

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From MongoDB to PostgreSQL: managed, scheduled, no code.

Creating a pipeline that sends data from MongoDB to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from MongoDB to PostgreSQL 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 PostgreSQL database

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MongoDB to PostgreSQL: Automated Data Replication

Sending data from MongoDB to PostgreSQL bridges the gap between flexible NoSQL storage and powerful SQL analytics. Kondado enables you to connect MongoDB to PostgreSQL without writing code, automatically replicating your collections and views to your destination database on a schedule you control. This eliminates the need for manual data exports or complex transformation scripts, allowing your team to focus on analysis rather than data engineering. Whether you are running MongoDB locally or using MongoDB Atlas, the pipeline handles data type conversion automatically so your documents arrive as queryable tables in PostgreSQL.

Kondado automatically replicates MongoDB collections and views to PostgreSQL on a configurable schedule, enabling analysts to query structured JSON data using standard SQL without manual ETL development.

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The Collections & Views pipeline automatically maps all your MongoDB collections and views into PostgreSQL, preserving your document structure while converting JSON documents to queryable relational format. Once replicated, you can join MongoDB user activity data with MySQL transactional records or Amazon S3 logs directly within PostgreSQL to uncover cross-platform insights. Data teams can build custom reports in Power BI or Looker Studio connected to PostgreSQL, leveraging advanced SQL window functions and aggregations that would be computationally expensive to run directly against your operational MongoDB cluster.

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Replicated to PostgreSQL

Dynamic data

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

available pipeline

PostgreSQL

Destination

What Kondado extracts

Collections & Views

Kondado automatically maps all collections and views in your database

See all available data → Send MongoDB to PostgreSQL →

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How to send MongoDB data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect MongoDB data source

Use the MongoDB data source option to enter your connection details for either Atlas or self-hosted instances, providing read access credentials for the collections you want to replicate.

Configure PostgreSQL destination

Add your PostgreSQL database credentials as the destination, specifying the schema where Kondado should create and update tables containing your replicated MongoDB data.

Select collections and schedule

Choose which collections and views to replicate from the available pipelines, then set your preferred update interval to keep PostgreSQL synchronized with MongoDB on a configurable schedule.

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Send data from MongoDB to other destinations

MongoDB > Looker Studio

MongoDB > Power BI

Other visualizations

MongoDB > Amazon S3

MongoDB > BigQuery

MongoDB > Excel

MongoDB > Google Sheets

MongoDB > MySQL

MongoDB > PostgreSQL

MongoDB > Redshift

MongoDB > SQL Server

Choose a tool to visualize your MongoDB data

If the software you need is not listed, drop us a messagem. You can use almost every tool

MongoDB > Airtable

MongoDB > Alteryx

MongoDB > Amazon Quicksight

MongoDB > BIMachine

MongoDB > Cortex

MongoDB > Data Studio

MongoDB > Geckoboard

MongoDB > Grafana

MongoDB > IBM Cognos Analytics

MongoDB > Klipfolio

MongoDB > Looker Studio

MongoDB > Looker

MongoDB > Looqbox

MongoDB > Metabase

MongoDB > Microstrategy

MongoDB > Pentaho

MongoDB > Power BI

MongoDB > Qlik Cloud Analytics

MongoDB > Qlik Sense

MongoDB > Qlik

MongoDB > QlikView

MongoDB > Redash

MongoDB > Superset

MongoDB > Tableau

MongoDB > BI TOTVS

MongoDB > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending MongoDB data to PostgreSQL automatically

How does MongoDB to PostgreSQL replication work with Kondado? ▼

Kondado connects directly to your MongoDB instance or Atlas cluster and extracts data from your selected collections and views. The platform handles the extraction, transformation of JSON documents to relational format, and loading into your PostgreSQL database automatically. You configure the update frequency, and Kondado manages the pipeline execution without requiring you to write custom scripts or manage infrastructure.

What MongoDB data gets replicated to PostgreSQL? ▼

The Collections & Views pipeline replicates all documents from your MongoDB collections and any defined views, mapping them to corresponding structures in PostgreSQL. This includes nested objects and arrays which are flattened or preserved as JSONB columns depending on the configuration. You select specific collections during setup, ensuring only relevant data flows to your analytics database.

How often can I update MongoDB data in PostgreSQL? ▼

Kondado supports configurable schedules ranging from every five minutes to daily or weekly intervals, depending on your analytical needs and database load preferences. Near-real-time updates every five minutes keep your PostgreSQL reports current without overwhelming your operational MongoDB cluster with constant read operations. You can adjust the frequency anytime based on changing business requirements.

How is MongoDB document data formatted in PostgreSQL tables? ▼

MongoDB documents are transformed into PostgreSQL rows with fields mapped to columns, preserving data types where compatible and converting complex nested structures to JSONB or text columns. Arrays become PostgreSQL array types or separate relational tables depending on complexity, allowing you to query using standard SQL syntax. This structure enables you to use PostgreSQL's advanced analytics functions on data originally stored as flexible JSON documents.

Can I combine MongoDB data with other sources in PostgreSQL? ▼

Yes, once your MongoDB data resides in PostgreSQL, you can join it with data replicated from MySQL, Redshift, or other sources supported by Kondado within the same database. This unified approach allows you to create comprehensive datasets in PostgreSQL for analysis in Power BI or Looker Studio without managing multiple connection points. Analysts can run complex SQL queries across disparate systems as if they were native PostgreSQL tables.

Do I need to map MongoDB schemas manually before replicating to PostgreSQL? ▼

Kondado automatically detects your MongoDB collection schemas and generates corresponding PostgreSQL table structures, handling the translation from flexible schema-less documents to fixed relational columns. If your documents contain varying fields across records, the platform creates columns to accommodate all discovered attributes. You can review and adjust field mappings during the initial setup to ensure optimal data types for your specific PostgreSQL analytics workload.

What happens when MongoDB collections change structure? ▼

When new fields appear in your MongoDB documents, Kondado detects these changes during subsequent replication runs and can update your PostgreSQL schema accordingly or capture new fields as additional columns. This adaptability handles the natural evolution of MongoDB applications without breaking your existing SQL queries in PostgreSQL. You maintain historical data consistency while accommodating application changes that add or modify document attributes.

Try out all the features for free for 14 days

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