Fivetran integration: Export data to Snowflake, BigQuery, and more

Looking to sync Ramp data with your data warehouse? Ramp integrates with over 20 destinations, including Snowflake, BigQuery, Databricks, and Redshift, through a ready-to-use connector built by Fivetran.

You can set it up in minutes, no engineering required.

Overview

Fivetran makes it simple to move Ramp data like card transactions, reimbursements, and user profiles into your data stack. Whether you're automating reporting, fueling dashboards, or prepping for audits, the Ramp + Fivetran integration saves time and gives you data exactly where you need it.

Supported destinations include:
Snowflake, BigQuery, Redshift, Databricks, Azure Synapse, MySQL, PostgreSQL, SQL Server, S3, and more. See full list.

Benefits

Compatibility

Prerequisites

Before you begin:


Integration steps

Step 1: Sign in to Fivetran

Head to Fivetran and sign in to your account.

Step 2: Add a new connector

In the Connections tab, search for Ramp, then click 'Set Up'

Step 3: Choose your destination

Pick where you'd like your Ramp data to go—Snowflake, BigQuery, Redshift, etc.

Step 4: Authenticate with Ramp

Click 'Authorize' and Fivetran will prompt you to sign in to your Ramp account and approve the connection. This enables read-only access to your Ramp data.

Fivetran permission request to access Ramp account, listing allowed data types like transactions and cards.

Once you provide the access, you will be redirected back to Fivetran.

Step 5: Select your data

Choose which data you want to sync—such as card transactions, reimbursements, users, and memos.

Step 6: Set your sync frequency

Decide how often Fivetran should pull new data. Options range from every few minutes to once a day.

Step 7: Launch the connector

Click launch, and Fivetran will handle the rest. Your data will start flowing into your destination and stay up to date automatically.


Troubleshooting