How to load data from Trello to DynamoDB

Learn how to use Airbyte to synchronize your Trello data into DynamoDB 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 Trello connector in Airbyte

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

Set up DynamoDB for your extracted Trello 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 Trello to DynamoDB 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 Trello Data to JSON

Start by exporting your Trello board data to a JSON file. Navigate to the Trello board you want to export, click on "Show Menu" on the right side, then "More," and select "Print and Export." Choose the "Export as JSON" option. This will download the board's data in a JSON format, which is essential for processing and transferring to DynamoDB.

Step 2: Set Up AWS CLI and Configure Credentials

Install and configure the AWS Command Line Interface (CLI) on your local machine if you haven't already. Use the command `aws configure` to set up your credentials, including your AWS Access Key ID, Secret Access Key, default region, and output format. This setup is necessary to interact with AWS services, including DynamoDB.

Step 3: Create a DynamoDB Table

Log in to your AWS Management Console and navigate to DynamoDB. Create a new table to store your Trello data. Define the primary key, which could be a unique identifier from your Trello data, such as card IDs. Specify any additional attributes and throughput settings as needed. Make note of the table name for future steps.

Step 4: Parse JSON Data for DynamoDB Compatibility

Open the exported Trello JSON file using a text editor or a script in a programming language like Python. Parse the JSON data to extract relevant fields that you want to store in DynamoDB. Ensure the data types and format are compatible with DynamoDB’s requirements. For example, make sure strings, numbers, and lists are properly formatted.

Step 5: Write a Script to Insert Data into DynamoDB

Develop a script using a programming language like Python that utilizes the AWS SDK (Boto3 for Python) to insert data into DynamoDB. Use the `put_item` or `batch_write_item` methods to handle data insertion. Map fields from the parsed JSON to the attributes in the DynamoDB table. Handle any exceptions or errors to ensure reliable data transfer.

Step 6: Run the Script to Transfer Data

Execute your script to transfer the parsed data from the JSON file into the DynamoDB table. Monitor the execution for any errors or issues during the data transfer process. Ensure that all intended data from Trello is accurately reflected in the DynamoDB table. Verify the data integrity post-transfer by querying the table.

Step 7: Verify Data Integrity and Clean Up

Once the data transfer is complete, verify the integrity of the data in DynamoDB by comparing a sample of the records with the original Trello JSON data. Ensure all necessary fields have been correctly mapped and inserted. After verification, clean up any temporary files or scripts used during the process, and consider setting up access policies to secure your DynamoDB table.