Supaflow Documentation

Supaflow is a unified data integration platform that orchestrates ingestion, dbt Core transformation, reverse ETL activation, and pipeline scheduling from a single workspace. Deploy in your VPC or natively on Snowflake via Snowpark Container Services. This documentation covers connecting sources and destinations, building pipelines, configuring orchestrations, monitoring jobs, and managing deployments across workspaces.

Quick links: Getting Started | Release Notes | Supaflow CLI | Claude Code Plugin

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Everything you need to ingest, transform, activate, and operate data pipelines from one place.

Sources & Destinations

Connect to Salesforce, HubSpot, Airtable, PostgreSQL, SQL Server, Oracle TM, Google Drive, Snowflake, S3, and more. Each connector supports incremental sync and automatic schema discovery.

Ingestion Pipelines

Build data pipelines with configurable sync modes, schema evolution, and automatic type mapping. Full refresh, incremental, or re-import.

Agent Deployment

Deploy the Supaflow Agent in your VPC, on bare metal, or natively inside Snowflake via Snowpark Container Services. Your data never leaves your environment.

Orchestration & Scheduling

Chain ingestion pipelines, SQL tasks, and activations into orchestrations with dependencies. Schedule runs with cron expressions or trigger on demand.

Jobs & Monitoring

Track pipeline execution with detailed job status, ingestion metrics, row counts, and duration. View logs and troubleshoot failures from the Activities page.

Activation Pipelines

Push enriched data from your warehouse back to Salesforce, HubSpot, and other SaaS platforms with reverse ETL. Map warehouse columns to destination fields.