How to load data from AppsFlyer to DynamoDB
Learn how to use Airbyte to synchronize your AppsFlyer 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: Understand AppsFlyer Data Export
Begin by understanding how AppsFlyer allows data export. AppsFlyer provides raw data reports that can be accessed through their Data Locker or via their Pull API. Familiarize yourself with the type of data, formats (usually CSV or JSON), and the fields available for export.
Step 2: Set Up AWS Environment
Set up your AWS environment if not already done. This includes creating an AWS account, setting up IAM roles with necessary permissions, and configuring AWS CLI on your local machine. This will prepare you for accessing and managing DynamoDB and other AWS resources.
Step 3: Configure AppsFlyer API Access
Access the AppsFlyer dashboard to obtain your API key, which is necessary for authenticating API requests. Create a script using Python or another HTTP client to fetch data from AppsFlyer using the Pull API. Ensure you handle authentication headers properly and manage API rate limits.
Step 4: Fetch Data from AppsFlyer
Use your script to fetch data from AppsFlyer. Make API calls to download the data in manageable chunks if necessary. Save this data temporarily on your local system or an AWS service like S3 if it's large. Ensure you handle any errors or retries as per AppsFlyer’s API documentation.
Step 5: Process Data for DynamoDB Compatibility
Process the fetched data to make it compatible with DynamoDB. DynamoDB requires data in JSON format, and you might need to map AppsFlyer data fields to your DynamoDB table attributes. Write a script to convert and clean the data appropriately, ensuring type compatibility and structure.
Step 6: Set Up DynamoDB Table
Create a DynamoDB table in your AWS console. Define the primary key (partition key and optionally a sort key) based on how you plan to query the data. Configure read/write capacity settings or enable on-demand capacity based on your application’s needs.
Step 7: Load Data into DynamoDB
Utilize AWS SDKs, such as Boto3 for Python, to write your processed data into DynamoDB. Use batch operations for efficiency and to stay within DynamoDB’s throughput limits. Monitor the process to handle any write errors and ensure data integrity in your DynamoDB table.
By following these steps, you can effectively move data from AppsFlyer to DynamoDB without relying on third-party connectors or integrations.