Snowflake Connector
Use Snowflake as the warehouse for Supaflow ingestion, transformations, and activation with key pair, password, or Native App authentication.
Popular source to Snowflake pipelines
Dedicated pages for destination-specific setup, buyer questions, and Snowflake sync behavior.
Salesforce to Snowflake
Sync Salesforce standard and custom objects into Snowflake with incremental updates and delete capture.
View pipeline pageHubSpot to Snowflake
Replicate HubSpot CRM, marketing, commerce, and engagement data into Snowflake.
View pipeline pageSQL Server to Snowflake
Replicate SQL Server tables into Snowflake with Change Tracking and hard-delete capture.
View pipeline pagePostgreSQL to Snowflake
Load PostgreSQL tables into Snowflake with primary-key backfills and streamed incremental sync.
View pipeline pageGoogle Drive to Snowflake
Sync CSV, TSV, Excel, and Google Sheets files from Drive into Snowflake.
View pipeline pageGoogle Sheets to Snowflake
Land every worksheet from Google Sheets as a Snowflake table with stable worksheet tracking.
View pipeline pageSFTP to Snowflake
Load CSV, TSV, JSON, JSONL/NDJSON, and XLSX files from SFTP into Snowflake.
View pipeline pageOracle TM to Snowflake
Replicate Oracle Transportation Management shipments, orders, costs, and locations into Snowflake.
View pipeline pageSalesforce Marketing Cloud to Snowflake
Sync Marketing Cloud Data Extensions, engagement events, subscribers, sends, and Journey Builder data.
View pipeline pageSetup a Snowflake Destination in Supaflow
Why Supaflow
All connectors included
Every connector is available on every plan. Pricing does not increase with connector count.
Pay for compute, not rows
Credit-based pricing. Usage scales with your pipelines, not with row counts.
One platform
Ingestion, dbt Core transformation, reverse ETL, and orchestration in a single workspace.
Capabilities
Key Pair, Password, and Native App Authentication
Connect via RSA key pair, username/password, or Snowpark Container Services OAuth when running as a Snowflake Native App. Supaflow can generate key-pair credentials directly in the app.
Warehouse-Native Loading
Loads data through Snowflake’s standard staged loading path, with automatic compression, staging, loading, and cleanup.
Automatic Schema Management
Supaflow creates target tables, manages column types, and handles schema evolution including type promotions and new column additions in the destination database and schema you configure.
Role and Warehouse Configuration
Specify the Snowflake role, warehouse, database, and schema to use. The warehouse auto-resumes for loading and can auto-suspend when idle.
Supported Objects
Configuration
Account Identifier
Snowflake account URL in orgname-account_name format.
Warehouse
Compute warehouse used for queries and loading.
Database
Target database where tables are created.
Schema
Target schema within the database.
Role
Snowflake role used for all operations.
How It Works
Run the Snowflake setup script
Log in to Snowflake and execute the provided setup script. The script creates a dedicated role, user, warehouse, database, and schema for Supaflow. Modify the names and password as needed before running.
Choose authentication and connect
Select Key Pair, Password, or Snowpark Container Services OAuth. For key pair, click Create Key to auto-generate credentials, or paste your own private key. Enter your Snowflake account identifier.
Configure advanced settings
Optionally set the Snowflake role, loading method, and schema refresh interval. The default settings work for most deployments.
Test and save
Click Test & Save to verify the connection. Supaflow validates the account identifier, credentials, and permissions on the target database and schema.
Use Cases
Centralize SaaS data in Snowflake
Load data from Salesforce, HubSpot, Airtable, and other sources into Snowflake for cross-system analytics and reporting.
SQL Server migration to Snowflake
Replicate SQL Server tables into Snowflake with incremental change tracking, maintaining a near-real-time copy of your operational database.
File-based data ingestion
Ingest CSV, Excel, and Google Sheets files from Google Drive into Snowflake tables with automatic schema inference and type detection.
Snowflake-native data pipelines
Run Supaflow as a Snowflake Native App from the Snowflake Marketplace. In Native App mode, the pipeline data plane runs inside your Snowflake account using Snowpark Container Services. Pay with existing Snowflake credits.
Frequently Asked Questions
Which authentication method should I use?
Does the warehouse need to be running?
What account identifier format does Supaflow expect?
Can I install Supaflow directly from the Snowflake Marketplace?
Need a connector we don't support yet?
Build one with AI-powered Connector Dev Skills.
Learn More About the Connector SDK
