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Sync data from
Amazon Redshift to HubSpot

Connect your data from Amazon Redshift to HubSpot with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.

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Amazon Redshift.
Hightouch sync.

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Trusted by data teams at

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Integrate your data in 3 easy steps

  1. 01

    Add your source and destination

    Connect to 15+ data sources, like Amazon Redshift, and 150+ destinations, like HubSpot.

    Amazon Redshift.


    Connector beam.

    Log in

  2. 02

    Define your model

    Use SQL or select an existing dbt or Looker model.

    Define your model
  3. 03

    Sync your data

    Define how fields from your model map to HubSpot, and start syncing.

    Amazon Redshift.
    Connector beam.
    Amazon Redshift.


    Connector beam.


    Amazon Redshift.


    Connector beam.


    Amazon Redshift.


    Connector beam.


    Amazon Redshift.


    Connector beam.


Model your Amazon Redshift data using any of these methods

  • dbt Model Selector

    Semi-opaque, open dropdown with three example dbt model names such as ''.

    Sync directly with your dbt models saved in a git.

  • Looker

    Semi-opaque open dropdown with three example Look names such as 'look.1'.

    Query using looks. Hightouch turns your look into SQL and will pull from your source.

  • SQL Editor

    Empty SQL editor.

    Create and Edit SQL from your browser. Hightouch supports SQL native to Amazon Redshift.

  • Table Selector

    Semi-opaque open dropdown with three example table names such as ''.

    Select available tables and sheets from Amazon Redshift and sync using existing views without having to write SQL.

  • Customer Studio

    Visual query builder reading 'All rows that...' with a button labeled 'select a property'.

    For less technical users, pass traits and audiences from Amazon Redshift using our visual segmentation builder.

Where can you sync your Amazon Redshift data in HubSpot

  • Contacts

    Contacts store information about individuals. From marketing automation to smart content, the lead-specific data found in contact records helps users leverage much of HubSpot's functionality.

    Hightouch docsHubSpot API
  • Companies

    The companies object is a CRM object. You can use individual company records to store information about businesses and organizations within company properties. The companies endpoints allow you to manage this data and sync it between HubSpot and other systems.

  • Deals

    A a deal represents an ongoing transaction that a sales team is pursuing with a contact or company. It’s tracked through pipeline stages until won or lost. The deals endpoints allow you to manage this data and sync it between HubSpot and other systems.

  • Tickets

    In HubSpot, a ticket represents a customer request for help or support. The tickets endpoints allow you to manage this data and sync it between HubSpot and other systems.

  • Custom Objects

    To represent and organize your CRM data based on your business needs, you can create custom objects. Use the custom objects API to define custom objects, properties, and associations to other CRM objects before syncing data from Hightouch.

  • Events

    A marketing event is a CRM object, similar to contacts and companies, that enables you to track and associate marketing events, such as a webinar, with other HubSpot CRM objects. Below, learn more about working with the marketing event API to integrate marketing events into an app.

Does this integration support in-warehouse planning?

Yes, if you integerate Amazon Redshift and HubSpot using Hightouch, in-warehouse planning is supported.

Great, but what is in-warehouse planning?

Between every sync, Hightouch notices any and all changes in your data model. This allows you to only send updated results to your destination (in this case HubSpot). With the baseline setup, Hightouch picks out only the rows that need to be synced by querying every row in your data model before diffing using Hightouch’s infrastructure.

The issue here is this can be slow for large models.

Warehouse Planning allows Hightouch to do this diff directly in your warehouse. Read more on how this works here.

Why is it valuable to sync Amazon Redshift data to HubSpot?

HubSpot is the backbone of your sales org. It's where you manage all of your contacts, accounts, and deals. The problem is that most of your CRM data has to be manually input by individual sales reps, so it doesn't show you an accurate 360-degree view of your customer. You only have access to basic information and historical interactions.

All of your HubSpot data, in addition to the rich behavioral data captured through your app/website already, exists in Amazon Redshift. Most of the time, this includes core metrics your data team has defined around lifetime value, workspaces, subscriptions, playlists, average order value, last login date, etc. There's a high chance you're probably even consuming this data in a dashboard, and your sales reps can't answer key questions like:

  • Which accounts have the highest lifetime value?
  • Which users have the highest utilization in our product?
  • When did user X last log in to the app?
  • Which leads/accounts should I be prioritizing?
  • Which accounts are at risk of churning?
  • What is the average order value of account X?

Your sales team doesn't want to hop back and forth between your various SaaS tools to answer these questions. They want to take action in HubSpot, and that means enriching your CRM with data directly from your warehouse.

Why should you use reverse ETL to connect Amazon Redshift and HubSpot data?

Conventionally moving data from Snowflake to HubSpot meant downloading ad hoc CSV files and uploading them manually or forcing your data team to integrate with the HubSpot API and build and maintain custom pipelines. In reality, CSVs are not scalable, and in-house data pipelines and custom scripts break constantly.

Other point-to-point solutions create a weave complex web of pipelines to and from various SaaS applications and customer data platforms (CDPs), forcing you to pay for another layer of storage in addition to your data warehouses.

Reverse ETL solutions like Hightouch query against Snowflake and sync that data directly to HubSpot. You don't have to worry about CSVs or APIs. You can leverage your existing tables, data models, and audience segments. All you have to do is define your data and map it to the appropriate columns in HubSpot. You can schedule your syncs to run manually or even trigger them to run sequentially based on criteria that you define.

Hightouch automatically diffs data between syncs to ensure your only ever syncing the freshest data, and if any rows fail, Hightouch will automatically retry them later. A live debugger lets you analyze your API payload requests/responses and failed runs in real-time.

How to integrate Redshift and Hubspot

You have a few options on how to unblock your marketing and business teams using Hubspot. We've outlined the 5 most common options you can take to sync data between Redshift and Hubspot below:

Option 1: Reverse ETL (Hightouch)

Reverse ETL tools like Hightouch can run on top of the data warehouse enabling you to sync data directly from Redshift to Hubspot in real-time. With Hightouch all you have to do is define your data using SQL or your own existing data models and map them to the appropriate columns in your end destination.

Better yet, Hightouch doesn’t store any of your data which means it only exists within your own cloud environment. In addition to this, Hightouch also offers a visual audience builder for business users who don't know SQL. You can start syncing data today in six simple steps.

Step 1: Connect to Your Data Source

Data Source.png

Step 2: Connect Hightouch to Your Destination


Step 3: Create a data model or leverage an existing one

You can use SQL to define your data directly in the Hightouch UI or even leverage your existing data models.

Data Model.png

Step 4: Choose Your Primary Key

With Hightouch you can map on any unique key, not just users and accounts.

primary key.png

Step 5: Create Your Sync

Once you have created your sync, you simply have to choose the appropriate columns and map them to the fields in your end destination.

column mappings.png

Step 6: Schedule Your Sync

Once your sync is created you can run it manually, define a set interval, or schedule it to run after a dbt job is completed.


The first integration with Hightouch is completely free so you can actually get started today. If you want to learn more about Reverse ETL, download our guide.

Option 2: Manual CSV Files

The most common and well-known way to move data from Redshift to Hubspot is through the usage of manual CSV files. This method involves you downloading a specific data set from Redshift and then uploading it directly to Hubspot. Doing this creates a few challenges though. Firstly, data stored in a CSV file becomes stale really quickly which makes it difficult for your sales and marketing teams to trust it.

This is not the most efficient way of moving data either because it's not a one-off request. Additionally, it's a manual process that requires you to download a CSV file every time your sales or marketing teams make a request. In addition to this, you have to ensure that all of the columns in your file match up with the columns that exist in Hubspot otherwise you risk ruining the data that lives in Hubspot (there is no undo button if you mess up an import).

Option 3: Custom Integrations

Building an in-house data pipeline to move data from Redshift to Hubspot could alleviate much of the manual effort involved in generating CSVs but this method also presents several challenges. Firstly, the APIs for Redshift and Hubspot are constantly changing, meaning that you have to be on the lookout for upstream or downstream changes to ensure your data pipeline is running smoothly.

Building a data pipeline is not an easy task. It’s resource-intensive and it pulls your engineering team away from the jobs that they were actually hired for. A custom data pipeline could work for you if you have relatively low amounts of data that you need to move, but if you need a custom integration for all of your additional SaaS applications and marketing tools it becomes nearly impossible to maintain.

Option 4: iPaaS (Integration Platform as a Service)

Workflow automation tools like Tray and Workato, are great options to move data from point “A” to “B”. As point-to-point solutions, that’s really all they can do. They exist to automate repetitive tasks and processes to improve efficiency.

These solutions can be a great option for simple use cases, but as soon as you go beyond that, you will find yourself writing custom code and soon be neck-deep in multiple if/then branches with numerous dependencies in each individual step. If the employee who created these workflows ever leaves, you will be stuck trying to piece together the mess he/she left behind.

Option 5: CDPs (Customer Data Platform)

CDPs fulfill a wide range of use cases and can be a great option for moving your data from Redshift to Salesforce. With a CDP you can easily consolidate all of your customer data into a centralized platform and then push it out to numerous SaaS applications and operational systems.

The problem with CDPs is that they created another source of truth in addition to your data warehouse. On top of this, CDPs can take over a year to implement, making it very difficult to get any value out of the solution. Even worse, CDPs own your data because it is no longer stored within your own cloud environment, so you might run into compliance issues.

Target customers to upsell based on the product features they currently use

See a customer's Stripe and NetSuite invoices directly from HubSpot

Personalize content in marketing emails based on a customer's product usage

Send lifecycle emails to customers based on their recent activity in the product (like abandoning a shopping cart)

Send tips to customers on valuable features they haven't used yet

Congratulate customers for reaching milestones within the product

Why sync data from
Amazon Redshift to HubSpot?

Today nearly every single interaction between your customers and prospects across both sales and marketing channels is captured in HubSpot. There’s a problem though. HubSpot only shows you one view of your customer. All of your unique customer data (e.g. product usage data, event data, custom audiences, etc.) is stored in Redshift. To truly create a personalized customer experience your business teams need access to this information in HubSpot.

Amazon Redshift.

About Amazon Redshift

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. It is built on Amazon Web Services

Learn more about Amazon Redshift

About HubSpot

HubSpot is an inbound marketing and sales platform that helps companies attract visitors, convert leads, and close customers. Its products and services aim to provide tools for social media marketing, content management, web analytics, CRM and search engine optimization.

Learn more about HubSpot

Other Amazon Redshift Integrations

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  • Syncing Custom Objects and Fields From Your Data Warehouse to HubSpot.

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    We use and love HubSpot and so do our customers and therefore we decided to draft this guide that walks you through the process of syncing custom objects and fields from your Data Warehouse to HubSpot.

  • How to Send Data from BigQuery to Hubspot.

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  • How to Send data from Snowflake to Hubspot.

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    Learn how you can move data from Snowflake to Hubspot in 6 easy steps

Read more about Hightouch

  • What is Reverse ETL? The Definitive Guide .

    What is Reverse ETL? The Definitive Guide

    Everything you need to know about Reverse ETL.

  • What is Operational Analytics & Why You Should Use It.

    What is Operational Analytics & Why You Should Use It

    Operational Analytics shifts the focus from simply understanding data to taking action on it in the tools that run business processes. Instead of using dashboards to make decisions, Operational Analytics is focused on turning insights into action – automatically.

  • dbt Cloud: 4 Reasons for Data Teams to Embrace it.

    dbt Cloud: 4 Reasons for Data Teams to Embrace it

    The biggest benefit that dbt Cloud offers to data teams and analytics engineers? Freedom from distractions, and the ability to focus where you can add unique value making sense of your company's data.

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Austin Hay.
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This might be one of the greatest inventions for technical marketers since the advent of legacy CDPs back in 2015.

Austin Hay

Austin Hay

Head of Marketing Technology


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Your data is always secure

Unlike other SaaS tools, Hightouch never stores any of your data.
SOC 2 Type 2 compliant.

SOC 2 Type 2 compliant

Your data stays secure, available, and confidential. To see our report, .

GDPR compliant.

GDPR compliant

If you’re in the EU, your data is only processed on EU data centers.

HIPAA compliant.

HIPAA compliant

Healthcare companies like ThirtyMadison, Chapter Health, and Headway trust Hightouch.

CCPA compliant.

CCPA compliant

To see our DPA (Data Processing Addendum), .


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