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Sync data from
Snowflake to Salesforce

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

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Integrate your data in 3 easy steps

  1. 01

    Add your source and destination

    Connect to 15+ data sources, like Snowflake, and 150+ destinations, like Salesforce.



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  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 Salesforce, and start syncing.

    Connector beam.


    Connector beam.




    Connector beam.




    Connector beam.




    Connector beam.


Model your Snowflake 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 Snowflake.

  • Table Selector

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

    Select available tables and sheets from Snowflake 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 Snowflake using our visual segmentation builder.

Where can you sync your Snowflake data in Salesforce

  • Account

    Represents an individual account, which is an organization or person involved with your business (such as customers, competitors, and partners). Use the account object to query and manage accounts in your org.

    Hightouch docsSalesforce API
  • Contact

    Represents a contact, which is a person associated with an account. Use the contact object to manage to manage individual people who are associated with an account.

  • Lead

    Represents a prospect or lead. Use the lead object to manage leads in your org.

  • Opportunity

    Represents an opportunity, which is a sale or pending deal. Use the opportunity object to to manage information about a sale or pending deal.

  • Campaign Member

    Represents the association between a campaign and either a lead or a contact. Use the campaignMember object to manage campaign members in your org.

  • Task

    Represents a business activity such as making a phone call. Use the task object to manage to-do items for your org.

  • Case

    Represents a case, which is a customer issue or problem. Use the case object to manage customer cases for your org.

  • Asset

    Represents an item of commercial value, such as a product sold by your company or a competitor, that a customer has purchased. Use the asset object to manage assets for your org.

  • User

    Represents a user in the organization. Use this object to query information about users and to provision and modify users in your organization. Unlike other objects, the records in the User table represent actual users—not data owned by users.

  • Custom Salesforce Objects

    We support custom Salesforce objects to ensure our integration supports all your organization’s unique workstreams.

Does this integration support in-warehouse planning?

Yes, if you integerate Snowflake and Salesforce 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 Salesforce). 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 Snowflake data to Salesforce?

Salesforce 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 Salesforce data, in addition to the rich behavioral data captured through your app/website already, exists in Snowflake. 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 Salesforce, and that means enriching your CRM with data directly from your warehouse.

Why should you use reverse ETL to connect Snowflake and Salesforce data?

Conventionally moving data from Snowflake to Salesforce meant downloading ad hoc CSV files and uploading them manually or forcing your data team to integrate with the Salesforce 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 Salesforce. 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 Salesforce. 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 Snowflake and Salesforce

Cloud data warehouses like Snowflake have become the standard for analytics in establishing a single source of truth for data teams. However, sending Snowflake data to Salesforce can be challenging and complicated. The good news is we've compiled a list of the many different ways you can sync data from Snowflake to Salesforce.

Option 1: Reverse ETL with Hightouch

For fully automated data syncs from Snowflake to Salesforce, Reverse ETL is the best option because it's not only the easiest to use but it's the least prone to failure. Instead of dealing with manual CSV files, third-party APIs, or custom code, Reverse ETL syncs data directly from your warehouse to your operational tools (e.g., Salesforce.)

Using Hightouch for Reverse ETL, you never have to import your data. Hightouch is a SaaS platform, which means you don't have to install anything locally on your computer. Record limits do not burden the platform, and the first destination is free.

With Hightouch, you can leverage all of your existing Snowflake tables and data models and sync that data directly to over 100 different destinations. You can run your data syncs manually or schedule them on a set cadence that you define (e.g., after your transformation jobs finish running in Snowflake.) 90% of all Hightouch syncs finish within 30 seconds, and this includes millions of records. There’s even a visual audience builder for non-technical users.

Step 1: Connect to Snowflake and Salesforce

You can connect to Snowflake using your standard information, and you can connect to Salesforce through 0Auth.

image of Hightouch connecting to Snowflake

image of Hightouch connecting to Salesforce

Step 2: Define Your Data

With Hightouch, you can write standard SQL or leverage your existing tables and dbt models. If you use Looker as your BI tool, you can even query using Looks.

image of Hightouch data modeling methods

Step 3: Configure Your Settings

Once you've defined your source data, the next step is to determine how you want your data synced to Salesforce. You can choose to upsert, update, or insert your data.

image of Salesforce objects

Step 4: Map Your Data

After you've selected your primary key, you can map your data to the appropriate fields in Salesforce.

image of Hightouch data mapping

Step 5: Run Your Sync

You can run your sync manually, on a set interval or custom recurrence, use a cron expression, or even schedule your sync to run after your latest dbt job has finished running.

image of Hightouch sync

Option 2: Salesforce Bulk API 2.0

Salesforce has a lot of different APIs, but you'll most likely want to leverage the Bulk API 2.0 if you want to read from Snowflake and write to Salesforce. This is the easiest API to upload, query, or delete records in Salesforce at scale. Salesforce’s documentation has more details on how it works.

Before you can use the Salesforce API, you’ll need to choose a library to connect your source and your destination. Depending on your language choice, this will vary, but JSforce is a great option for Node.js developers.

After you’ve chosen your library, you’ll need to write a script to pull out the records you want to sync to Salesforce, and then you can ingest your data into Salesforce’s Bulk API. Of course, it’s never as easy as just calling an API.

There’s a lot you need to account for, whether it’s authentication, error handling, logging, rate limits, or batching. You also have to worry about various edge cases and parallelizing. If you’re considering building your own in-house pipeline to send data from Snowflake to Salesforce, check out this guide on integrating third-party APIs.

Option 3: Data Import Wizard

Data Import Wizard is a native feature that Salesforce makes available to all editions except Personal and This tool lets you upload CSVs directly to Snowflake. You can import data for many standard Salesforce objects like accounts, contacts, leads, and campaign members. You can also import data for custom objects as well.

The Data Import Wizard only handles 50,000 records at a time, so it’s not a dedicated data integration tool. The tool is really only designed to handle CSVs. You have no ability to perform deletes or exports with this tool. All imports have to be done manually since there is no scheduling option.

Data Import Wizard is available in the Salesforce Quick Find bar. Once you’ve chosen selected an object and a primary key to uniquely identify your records, all you have to do is upload your CSV to Salesforce and map the data from your CSV to the appropriate columns in Salesforce.

Option 4: Data Loader

Another option for sending Snowflake data to Salesforce is Data Loader. This feature is free for Enterprise, Unlimited, Performance, Developer, and Database editions of Salesforce. It’s basically just a more robust version of the Data Import wizard, and it supports up to 5,000,000 records per import and can be used for both importing and exporting.

Data Loader is a client-based application that you have to run locally on your computer. There’s a command-line interface that’s available for Windows users to give you more options around configurability.

You can find the installation files Data Loader in the Salesforce Quickfind bar. Getting started with the Data Loader is a bit more complicated than the Import Wizard because you need a Java Development Kit (JDK) to run it locally on your computer.

Without changing anything, the maximum number of records that Data Loader can process in a single insert, update, upsert, or delete operation is 200, so you’ll need to configure the tool to use the Salesforce Bulk API.

The Data Loader interface isn’t that intuitive, and the UI feels like it’s been around since the early 90s, so it can be a bit complicated to import your CSV and map your data fields to the appropriate object in Salesforce.

Option 5:

Mulsesoft originally developed before Salesforce acquired the company back in 2018. It offers basically all of the same functionality as the Data Loader, but it’s available as a SaaS offering you can access through your web browser, so it’s much easier to use than Data Loader.

The free version of only supports 10,000 records per month, so if you need to import more records, you’ll likely need to purchase an actual license. Licenses start at $99 a month per user for the professional plan and $299 for the enterprise plan. The professional plan gives you 100,000 records, and the enterprise plan gives you unlimited.

Much like the previous options, has a UI where you can upload CSVs and map your data to the appropriate objects in Salesforce. In order to schedule imports with, you have to save an updated CSV with the exact same file name as your previous import.

Option 6: CRM Analytics Snowflake Connector

CRM Analytics is a native Salesforce product that provides a native connector for Snowflake where you can sync data to and from Snowflake. The product starts at $125 per monthly user if you want to access the data connectors. Connectors themselves can sync up to 100 million rows or 50 GB per object.

CRM offers three main connection types:

  • Input connectors sync data directly to Salesforce.
  • Output connectors move data out of Salesforce.
  • Live connectors create a live connection to your source and query data directly in Salesforce.

In order to use CRM analytics first have to build recipes and workflows to map your data to the appropriate fields in Salesforce, and there’s no easy way to update, insert, or upsert fields. Unfortunately, the live connector is only practical for reporting since you can only build charts, dashboards, or tables with the data.

Push lead info from your warehouse into Salesforce CRM to enable executives to go after the right accounts

Push product data to enable account managers to know what actions are being taken in the app

Reduce churn by syncing health scores and churn events to Salesforce CRM for account managers to track

Why sync data from
Snowflake to Salesforce?

Salesforce is the single source of truth for your sales team, but it only shows one view of your customer. In reality, all of your product usage data, event data, and custom audiences live in Snowflake. To truly have a 360-degree view of your customer, your sales team needs access to this information. With the proper data in their hands, your sales team can remove the guesswork and start targeting your highest value leads.


About Snowflake

Snowflake is a managed cloud data warehouse that helps you consolidate and aggregate your data into a single, centralized platform to tackle analytics use cases. These workloads include data warehousing, data lakes, data engineering, application development, data sharing, and business intelligence.

Learn more about Snowflake

About Salesforce

Salesforce is a cloud computing service as a software (SaaS) company that specializes in customer relationship management (CRM). Salesforce's services allow businesses to use cloud technology to better connect with customers, partners and potential customers.

Learn more about Salesforce

Other Snowflake Integrations

Snowflake to Zoho CRM

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    This playbook will show you how to manage multivariate testing across Facebook and Salesforce Marketing Cloud with Hightouch Audiences.

  • Create Facebook Lookalike Audiences from High Value Users.

    Create Facebook Lookalike Audiences from High Value Users

    In this playbook, you will learn how to use Hightouch to sync an audience of high-value customers to Facebook to generate lookalike audiences.

  • Sync Nested Object Data to Braze.

    Sync Nested Object Data to Braze

    This playbook will help you understand how and why you should be leveraging nested object arrays in Braze to deeply personalize your omnichannel marketing campaigns.

Read more about Salesforce

  • How to Enrich Salesforce Data in 6 Steps.

    How to Enrich Salesforce Data in 6 Steps

    Learn How Hightouch can help you enrich your Salesforce data in 6 easy steps.

  • Why Salesforce Shouldn't be Your Source of Truth.

    Why Salesforce Shouldn't be Your Source of Truth

    Learn how Salesforce creates data silos and why the data warehouse should be your source of truth instead.

  • The Definitive Guide to Pushing Data from Your EDW to Salesforce CRM.

    The Definitive Guide to Pushing Data from Your EDW to Salesforce CRM

    With the growing adoption of CRMs in large and small organizations, serving customer data to sales teams is a true competitive advantage. This guide outlines multiple ways for pushing data to Salesforce from your EDW.

  • How We Migrated to Salesforce in 4 Hours using Hightouch.

    How We Migrated to Salesforce in 4 Hours using Hightouch

    CRM migrations are painful, but they shouldn't be. Learn how you can migrate your CRM in under four hours.

  • How to send data from Redshift to Salesforce.

    How to send data from Redshift to Salesforce

    Learn how you can move data from Redshift to Salesforce in 6 easy steps

  • How to send data from BigQuery to Salesforce.

    How to send data from BigQuery to Salesforce

    Learn how you can move data from BigQuery to Salesforce 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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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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