How to load data from Amplitude to DynamoDB
Learn how to use Airbyte to synchronize your Amplitude 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
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
After Airbyte
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes
Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
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
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend
Chase Zieman
“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.”
Rupak Patel
"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."
How to Sync to Manually
Step 1: Extract Data from Amplitude via Export API
Begin by utilizing Amplitude's Export API to extract the data you need. You can make HTTP GET requests to the API endpoint, providing necessary parameters such as start and end dates. Ensure you authenticate using your API key and secret. The response will typically contain the data in JSON format.
Step 2: Parse and Transform JSON Data
Once you've obtained the JSON data from Amplitude, parse it to ensure it is structured correctly for DynamoDB. Use a scripting language like Python to read the JSON data and transform it into a format that matches your DynamoDB table schema. Make adjustments to field names and data types as necessary to ensure compatibility.
Step 3: Set Up AWS SDK for DynamoDB
Prepare your environment to interact with DynamoDB by installing and configuring the AWS SDK. If you're using Python, for instance, you would install the `boto3` library. Configure your AWS credentials and region to allow access to your DynamoDB instance.
Step 4: Create a DynamoDB Table
Ensure you have a DynamoDB table ready to receive the data. If you haven't already created one, use the AWS Management Console or AWS CLI to set up a table with the appropriate partition key, sort key (if needed), and any required attributes. Define the read/write capacity or opt for on-demand pricing based on your use case.
Step 5: Batch Write Data to DynamoDB
To efficiently move data to DynamoDB, use batch writing methods provided by the AWS SDK. This process involves grouping your parsed JSON data into batches (up to 25 items per batch) and using the `batch_write_item` method. Handle potential throttling by implementing retries with exponential backoff.
Step 6: Verify Data Integrity
After the data has been written to DynamoDB, verify its integrity. Query the DynamoDB table to check a sample of the records, ensuring that all fields have been transferred correctly and that the data types match your expectations. Cross-reference with the original data in Amplitude for accuracy.
Step 7: Automate the Process (Optional)
If you need to move data regularly, consider automating the process. Create a script or lambda function that regularly queries Amplitude, transforms the data, and uploads it to DynamoDB. Schedule this process using AWS CloudWatch Events or a cron job to ensure consistent data updates.
By following these steps, you can effectively move data from Amplitude to DynamoDB without relying on third-party connectors or integrations.