How to load data from Commcare to Postgres destination

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

Building your pipeline or Using Airbyte

Airbyte is the only open source solution empowering data teams  to meet all their growing custom business demands in the new AI era.

Building in-house pipelines

Bespoke pipelines are:
  • Inconsistent and inaccurate data
  • Laborious and expensive
  • Brittle and inflexible
Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

After Airbyte

Airbyte connections are:
  • Reliable and accurate
  • Extensible and scalable for all your needs
  • Deployed and governed your way
All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and AI Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Commcare 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 Commcare 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 Commcare 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.

Take a virtual tour

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

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

Setup Complexities simplified!

You don’t need to put hours into figuring out how to use Airbyte to achieve your Data Engineering goals.

Simple & Easy to use Interface

Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.

Guided Tour: Assisting you in building connections

Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.

Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes

Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.

What sets Airbyte Apart

Modern GenAI Workflows

Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.

Move Large Volumes, Fast

Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.

An Extensible Open-Source Standard

More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.

Full Control & Security

Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.

Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

Enterprise Support with SLAs

Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.

What our users say

Raman Singh

Tech Lead at Symend

Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

Learn more
Chase Zieman headshot

Chase Zieman

Chief Data Officer

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Learn more

Rupak Patel

Operational Intelligence Manager

"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."

Learn more

How to Sync to Manually

Step 1: Export Data from CommCare

Begin by accessing your CommCare HQ account. Navigate to the Data section and select the option to export data. Choose the specific form or case data you need to export. Configure the export settings as required, ensuring to include all necessary fields. Once configured, export the data in a CSV or Excel format, which is easily manageable for further processing.

Step 2: Prepare the Exported Data

Open the exported file using a spreadsheet application like Excel or a text editor. Clean the data by removing any unnecessary columns or rows and ensure that the data types match your PostgreSQL schema. Make sure to handle any null values appropriately and verify that the data is consistent and ready for import.

Step 3: Install PostgreSQL and Setup Database

If PostgreSQL is not already installed, download and install it from the official PostgreSQL website. Once installed, open the PostgreSQL command line or a graphical tool like pgAdmin. Create a new database for your CommCare data by executing the `CREATE DATABASE` command. Set up the necessary tables in this database to match the structure of your exported data.

Step 4: Create Tables in PostgreSQL

Using SQL commands, create tables in your PostgreSQL database that align with the structure of your exported data. Define each table with the appropriate columns and data types. For instance, use `CREATE TABLE table_name (column1 datatype, column2 datatype, ...);` to create tables. Ensure that primary keys, foreign keys, and any other constraints are appropriately defined.

Step 5: Prepare Data for Import

Modify your CSV or Excel data to match the format required by PostgreSQL. This may involve converting it to a CSV format if it isn't already. Ensure that the column headers in your data file match the column names in your PostgreSQL tables. Save the prepared file, ensuring that any special characters or delimiters are consistent with PostgreSQL's expected input.

Step 6: Import Data into PostgreSQL

Use the `COPY` command in PostgreSQL to import the data. Navigate to your database directory or use an appropriate path and execute a command like `COPY table_name FROM '/path/to/your/file.csv' DELIMITER ',' CSV HEADER;` in the PostgreSQL command line or your SQL execution environment. This command reads the CSV file and populates the corresponding PostgreSQL table.

Step 7: Verify Data Integrity

After importing, verify the data integrity by running SQL queries to check for consistency and accuracy. Compare a sample of rows from the PostgreSQL database against your original data to ensure no discrepancies exist. Correct any errors by manually updating the database where necessary. This step ensures that the data migration process has been successful and that the data is reliable for further use.