How to load data from Iterable to DynamoDB

Learn how to use Airbyte to synchronize your Iterable data into DynamoDB within minutes.

Building your pipeline or Using Airbyte

Airbyte is the only open 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 Connector Builder.

Start snycing with Airbyte in 3 easy steps within 10 minutes

Set up a Iterable connector in Airbyte

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

Set up DynamoDB for your extracted Iterable data

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

Configure the Iterable 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.

Try Airbyte Cloud

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

Talk to our team

Old Automated Content

TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

set up Iterable as a source connector (using Auth, or usually an API key)
set up DynamoDB as a destination connector
define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Iterable

Iterable is a marketing platform designed to help businesses grow. Its automated platform enables businesses to measure and optimize customer interactions, with the ability to easily create and execute cross-channel campaigns. Through in-app notifications, email, SMS, web and mobile push, and social media integrations, Iterable powers the entire customer engagement lifecycle, throughout all stages of the customer journey.

What is DynamoDB

Amazon DynamoDB is a fully managed proprietary NoSQL database service that supports key–value and document data structures and is offered by Amazon.com as part of the Amazon Web Services portfolio. DynamoDB exposes a similar data model to and derives its name from Dynamo, but has a different underlying implementation.

Integrate Iterable with DynamoDB in minutes

Try for free now

Prerequisites

A Iterable account to transfer your customer data automatically from.
A DynamoDB account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Iterable and DynamoDB, for seamless data migration.

When using Airbyte to move data from Iterable to DynamoDB, it extracts data from Iterable using the source connector, converts it into a format DynamoDB can ingest using the provided schema, and then loads it into DynamoDB via the destination connector. This allows businesses to leverage their Iterable data for advanced analytics and insights within DynamoDB, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Iterable as a source connector

1. First, navigate to the Airbyte dashboard and click on "Sources" in the left-hand menu.

2. Click on the "Create New Source" button and select "Iterable" from the list of available connectors.

3. Enter a name for your Iterable source and click "Next".

4. Enter your Iterable API key in the "API Key" field. You can find your API key in your Iterable account under "API Keys" in the "Integrations" tab.

5. Select the data you want to sync from Iterable by checking the boxes next to the relevant objects (e.g. users, campaigns, events).

6. Choose how often you want your data to sync by selecting a sync frequency from the dropdown menu.

7. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Iterable account.

8. If the test is successful, click "Create Source" to save your Iterable source and start syncing your data.

9. You can monitor the progress of your sync in the Airbyte dashboard under "Jobs".

Step 2: Set up DynamoDB as a destination connector

1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Scroll down until you find the "DynamoDB" connector and click on it.
3. Click on the "Create new connection" button.
4. Enter a name for your connection and click on the "Next" button.
5. Enter your AWS access key ID and secret access key in the appropriate fields.
6. Enter the name of the DynamoDB table you want to connect to.
7. Choose the region where your DynamoDB table is located.
8. Click on the "Test connection" button to ensure that your credentials are correct and that the connection is successful.
9. If the test is successful, click on the "Create connection" button to save your settings.
10. You can now use the DynamoDB destination connector to transfer data from your source to your DynamoDB table.

Step 3: Set up a connection to sync your Iterable data to DynamoDB

Once you've successfully connected Iterable as a data source and DynamoDB as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Iterable from the dropdown list of your configured sources.
Select your destination: Choose DynamoDB from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Iterable objects you want to import data from towards DynamoDB. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Iterable to DynamoDB according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your DynamoDB data warehouse is always up-to-date with your Iterable data.

Use Cases to transfer your Iterable data to DynamoDB

Integrating data from Iterable to DynamoDB provides several benefits. Here are a few use cases:

Advanced Analytics: DynamoDB’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Iterable data, extracting insights that wouldn't be possible within Iterable alone.
Data Consolidation: If you're using multiple other sources along with Iterable, syncing to DynamoDB allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Iterable has limits on historical data. Syncing data to DynamoDB allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: DynamoDB provides robust data security features. Syncing Iterable data to DynamoDB ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: DynamoDB can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Iterable data.
Data Science and Machine Learning: By having Iterable data in DynamoDB, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Iterable provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to DynamoDB, providing more advanced business intelligence options. If you have a Iterable table that needs to be converted to a DynamoDB table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Iterable account as an Airbyte data source connector.
Configure DynamoDB as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Iterable to DynamoDB after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

Easily address your data movement needs with Airbyte Cloud

Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team.

Get started with Airbyte for free

Talk to a data infrastructure expert

Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure.

Talk to sales

Improve your data infrastructure knowledge

Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.

Subscribe to newsletter

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 supports both incremental and full refreshes, for databases of any size.

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 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

Jean-Mathieu Saponaro

Data & Analytics Senior Eng Manager

The intake layer of Datadog’s self-serve analytics platform is largely built on Airbyte.Airbyte’s ease of use and extensibility allowed any team in the company to push their data into the platform - without assistance from the data team!

Learn more

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

Alexis Weill

Data Lead

“We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria. The value of being able to scale and execute at a high level by maximizing resources is immense”

Learn more

How to Sync Iterable to DynamoDB Manually

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

Step 6:

Step 7:

Step 8:

Back to all tutorials

Databases

Marketing Analytics

How to load data from Iterable to DynamoDB

Learn how to use Airbyte to synchronize your Iterable data into DynamoDB within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

Step 1: Setup Iterable

Step 2: Setup DynamoDB

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Iterable and DynamoDB

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Iterable as a source connector (using Auth, or usually an API key)
set up DynamoDB as a destination connector
define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Iterable

What is DynamoDB

Integrate Iterable with DynamoDB in minutes

Try for free now

Prerequisites

A Iterable account to transfer your customer data automatically from.
A DynamoDB account.
An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Step 1: Set up Iterable as a source connector

1. First, navigate to the Airbyte dashboard and click on "Sources" in the left-hand menu.

2. Click on the "Create New Source" button and select "Iterable" from the list of available connectors.

3. Enter a name for your Iterable source and click "Next".

4. Enter your Iterable API key in the "API Key" field. You can find your API key in your Iterable account under "API Keys" in the "Integrations" tab.

5. Select the data you want to sync from Iterable by checking the boxes next to the relevant objects (e.g. users, campaigns, events).

6. Choose how often you want your data to sync by selecting a sync frequency from the dropdown menu.

7. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Iterable account.

8. If the test is successful, click "Create Source" to save your Iterable source and start syncing your data.

9. You can monitor the progress of your sync in the Airbyte dashboard under "Jobs".

Step 2: Set up DynamoDB as a destination connector

Step 3: Set up a connection to sync your Iterable data to DynamoDB

Once you've successfully connected Iterable as a data source and DynamoDB as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Iterable from the dropdown list of your configured sources.
Select your destination: Choose DynamoDB from the dropdown list of your configured destinations.
Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
Select the data to sync: Choose the specific Iterable objects you want to import data from towards DynamoDB. You can sync all data or select specific tables and fields.
Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Iterable to DynamoDB according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your DynamoDB data warehouse is always up-to-date with your Iterable data.

Use Cases to transfer your Iterable data to DynamoDB

Integrating data from Iterable to DynamoDB provides several benefits. Here are a few use cases:

Advanced Analytics: DynamoDB’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Iterable data, extracting insights that wouldn't be possible within Iterable alone.
Data Consolidation: If you're using multiple other sources along with Iterable, syncing to DynamoDB allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
Historical Data Analysis: Iterable has limits on historical data. Syncing data to DynamoDB allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: DynamoDB provides robust data security features. Syncing Iterable data to DynamoDB ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: DynamoDB can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Iterable data.
Data Science and Machine Learning: By having Iterable data in DynamoDB, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Iterable provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to DynamoDB, providing more advanced business intelligence options. If you have a Iterable table that needs to be converted to a DynamoDB table, Airbyte can do that automatically.