How to load data from Pardot to Redshift

Learn how to use Airbyte to synchronize your Pardot data into Redshift within minutes.

Try Airbyte Cloud

Get a demo

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 syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Pardot connector in Airbyte

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

Set up Redshift for your extracted Pardot data

Select Redshift where you want to import data from your Pardot source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Pardot to Redshift 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

set up Pardot as a source connector (using Auth, or usually an API key)
set up Redshift 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 Pardot

Pardot is a marketing automation platform that helps businesses streamline their marketing efforts and generate more leads. It offers a range of tools and features, including email marketing, lead scoring, lead nurturing, and analytics. With Pardot, businesses can create targeted campaigns that reach the right audience at the right time, and track their performance to optimize their marketing strategies. The platform also integrates with Salesforce, allowing businesses to seamlessly manage their sales and marketing efforts in one place. Overall, Pardot is designed to help businesses improve their marketing ROI and drive growth.

What is Redshift

A fully managed data warehouse service in the Amazon Web Services (AWS) cloud, Amazon Redshift is designed for storage and analysis of large-scale datasets. Redshift allows businesses to scale from a few hundred gigabytes to more than a petabyte (a million gigabytes), and utilizes ML techniques to analyze queries, offering businesses new insights from their data. Users can query and combine exabytes of data using standard SQL, and easily save their query results to their S3 data lake.

Integrate Pardot with Redshift in minutes

Try for free now

Prerequisites

A Pardot account to transfer your customer data automatically from.
A Redshift 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 Pardot and Redshift, for seamless data migration.

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

Step 1: Set up Pardot as a source connector

1. First, log in to your Pardot account and navigate to the ""Settings"" tab.
2. Click on ""Connectors"" and then select ""Add Connector.""
3. Choose ""API User Key"" as the connector type and give it a name.
4. Generate an API user key by clicking on ""Generate User Key"" and copy it.
5. In Airbyte, navigate to the ""Sources"" tab and click on ""New Source.""
6. Select ""Pardot"" as the source type and give it a name.
7. Paste the API user key into the ""API User Key"" field.
8. Enter your Pardot username and password in the appropriate fields.
9. Click on ""Test Connection"" to ensure that the connection is successful.
10. If the test is successful, click on ""Create Source"" to save the configuration.
11. You can now use the Pardot source connector in Airbyte to extract data from your Pardot account.

Step 2: Set up Redshift as a destination connector

1. First, log in to your Airbyte account and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Add Destination" button and select "Redshift" from the list of available connectors.
3. Enter your Redshift database credentials, including the host, port, database name, username, and password.
4. Choose the schema you want to use for your data in Redshift.
5. Select the tables you want to sync from your source connector to Redshift.
6. Map the fields from your source connector to the corresponding fields in Redshift.
7. Choose the sync mode you want to use, either "append" or "replace."
8. Set up any additional options or filters you want to use for your sync.
9. Test your connection to ensure that your data is syncing correctly.
10. Once you are satisfied with your settings, save your configuration and start your sync.

Step 3: Set up a connection to sync your Pardot data to Redshift

Once you've successfully connected Pardot as a data source and Redshift 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 Pardot from the dropdown list of your configured sources.
Select your destination: Choose Redshift 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 Pardot objects you want to import data from towards Redshift. 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 Pardot to Redshift according to your settings.

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

Use Cases to transfer your Pardot data to Redshift

Integrating data from Pardot to Redshift provides several benefits. Here are a few use cases:

Advanced Analytics: Redshift’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Pardot data, extracting insights that wouldn't be possible within Pardot alone.
Data Consolidation: If you're using multiple other sources along with Pardot, syncing to Redshift 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: Pardot has limits on historical data. Syncing data to Redshift allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Redshift provides robust data security features. Syncing Pardot data to Redshift ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Redshift can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Pardot data.
Data Science and Machine Learning: By having Pardot data in Redshift, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Pardot provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Redshift, providing more advanced business intelligence options. If you have a Pardot table that needs to be converted to a Redshift table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Pardot account as an Airbyte data source connector.
Configure Redshift as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Pardot to Redshift 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

Sync with Airbyte

Step 1: Set up Pardot as a source connector

Step 2: Set up Redshift as a destination connector

Step 3: Set up a connection to sync your Pardot data to Redshift

Once you've successfully connected Pardot as a data source and Redshift 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 Pardot from the dropdown list of your configured sources.
Select your destination: Choose Redshift 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 Pardot objects you want to import data from towards Redshift. 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 Pardot to Redshift according to your settings.

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

How to Sync Pardot to Redshift Manually

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

Step 6:

Step 7:

Step 8:

FAQs

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Pardot?

What data can you extract from Pardot?

Pardot's API provides access to a wide range of data related to marketing automation and lead management. The following are the categories of data that can be accessed through Pardot's API:

1. Prospects: Information about individual leads, including their contact details, activity history, and lead score.

2. Campaigns: Details about marketing campaigns, including their status, performance metrics, and associated assets.

3. Lists: Information about lists of prospects, including their size, membership criteria, and segmentation rules.

4. Emails: Details about email campaigns, including their content, delivery status, and engagement metrics.

5. Forms: Information about web forms used to capture lead data, including their design, submission data, and conversion rates.

6. Landing Pages: Details about landing pages used to drive lead generation, including their design, traffic sources, and conversion rates.

7. Tags: Information about tags used to categorize prospects, campaigns, and other marketing assets.

8. Users: Details about Pardot users, including their roles, permissions, and activity history.

9. Custom Objects: Information about custom objects created in Pardot, including their fields, records, and relationships with other objects.

Overall, Pardot's API provides a comprehensive set of data that can be used to optimize marketing campaigns, improve lead management, and drive business growth.

How do I transfer data from Pardot?

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:
1. Set up Pardot to Redshift as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Pardot to Redshift and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Back to all tutorials

Warehouses and Lakes

Marketing Analytics

How to load data from Pardot to Redshift

Learn how to use Airbyte to synchronize your Pardot data into Redshift within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

Step 2: Setup Redshift

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Pardot and Redshift

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Pardot as a source connector (using Auth, or usually an API key)
set up Redshift 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 Pardot

What is Redshift

Integrate Pardot with Redshift in minutes

Try for free now

Prerequisites

A Pardot account to transfer your customer data automatically from.
A Redshift 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 Pardot as a source connector

Step 2: Set up Redshift as a destination connector

Step 3: Set up a connection to sync your Pardot data to Redshift

Once you've successfully connected Pardot as a data source and Redshift 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 Pardot from the dropdown list of your configured sources.
Select your destination: Choose Redshift 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 Pardot objects you want to import data from towards Redshift. 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 Pardot to Redshift according to your settings.

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

Use Cases to transfer your Pardot data to Redshift

Integrating data from Pardot to Redshift provides several benefits. Here are a few use cases:

Advanced Analytics: Redshift’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Pardot data, extracting insights that wouldn't be possible within Pardot alone.
Data Consolidation: If you're using multiple other sources along with Pardot, syncing to Redshift 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: Pardot has limits on historical data. Syncing data to Redshift allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Redshift provides robust data security features. Syncing Pardot data to Redshift ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Redshift can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Pardot data.
Data Science and Machine Learning: By having Pardot data in Redshift, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Pardot provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Redshift, providing more advanced business intelligence options. If you have a Pardot table that needs to be converted to a Redshift table, Airbyte can do that automatically.