How to load data from MongoDb to Postgres destination

Learn how to use Airbyte to synchronize your MongoDb data into Postgres destination within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a MongoDb connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Postgres destination for your extracted MongoDb data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the MongoDb to Postgres destination in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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How to Sync to Manually

Step 1: Evaluate the Existing MongoDB Database

Begin by understanding the structure and size of your MongoDB database. This involves reviewing collections, documents, and data types to get a clear picture of what needs to be migrated.

Step 2: Configure the PostgreSQL Database Target

After installing PostgreSQL, create the necessary databases and tables that match the structure of your MongoDB collections.

Step 3: Export Data from MongoDB

Export your MongoDB data using the mongoexport utility. Choose the appropriate format (JSON or CSV) for your data.

Example Command:

mongoexport --db mydb --collection users --out users.json

Step 4: Prepare the PostgreSQL Schema

  • Ensure that the PostgreSQL schema is designed to meet relational data requirements and reflects the MongoDB data structure appropriately.
  • Create tables, define data types, and set up constraints based on the exported MongoDB data model.

Step 5: Transform and Clean the Data

  • Data Transformation: Write scripts or use data transformation tools to transform the exported data into a format compatible with PostgreSQL.
  • Flatten Structures: Address nested structures, convert data types, and handle arrays and embedded documents.
  • Data Cleaning: Clean the data to align with PostgreSQL schema standards.

Step 6: Load Data into PostgreSQL

Use the COPY command or the psql program to load data into PostgreSQL tables.

Example Command:

COPY users FROM 'path_to_file/users.json' WITH (FORMAT json);

Step 7: Verify the Migrated Data

Compare data between PostgreSQL and MongoDB to ensure accuracy and completeness. Check data counts, key constraints, and sample records to confirm successful migration.

Step 8: Monitor the Performance

Optimize the PostgreSQL database by adjusting setup parameters, creating indexes, and optimizing queries. Keep an eye on database performance and make necessary adjustments to maintain efficiency.