Supaflow AI Plugins -- manage data pipelines with ChatGPT or Claude. Choose your AI assistant

Ingest, transform, and activate data in one workspace.

Connect your apps and databases, model warehouse data with dbt Core™, and sync results back to business tools. Schedule and monitor the complete workflow in Supaflow.

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The Supaflow data stack

Extract & Load

Ingest Salesforce, HubSpot, NetSuite, Postgres, and more with historical + incremental syncs.

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Transform

Build dbt Core™ models alongside pipelines with previews, tests, and Git review in the same workspace.

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Activate

Send modeled customer data to business tools with field mappings and a record key.

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Common Supaflow Workflows

Load source data, build reporting models, and send customer updates back to your apps.

Replicate operational data into your warehouse

Connect SaaS apps and databases, run historical plus incremental syncs, and keep warehouse tables current on a schedule your team controls.

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Build and test warehouse models

Build dbt Core™ models in transformation projects alongside the ingestion and activation work they depend on. Start from scratch or import an existing Git repository.

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Activate modeled data back into business systems

Push curated warehouse tables into Salesforce, HubSpot, Marketo, Google Ads, and other downstream tools with field mappings and a record key, then review delivery results.

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Run scheduled workflows from one workspace

Combine ingestion pipelines, dbt Core™ transformation projects, and activation pipelines in one orchestration, then schedule and monitor the complete workflow from the same workspace.

Explore the workflow

Choose the part of your workflow to explore

Ingestion Pipelines

Bring app and database data into your warehouse. Choose the objects and fields you need, configure supported sync and load modes, and follow each run.

  • •Object and field selection
  • •Full and incremental syncs where supported
  • •Per-object ingestion and loading metrics
Explore Ingestion Pipelines

dbt Core™ Transformations

Build and run dbt Core models alongside your pipelines. Import a Git project, edit SQL, preview results, and review lineage and tests in one workspace.

  • •Model editor, previews, and compiled SQL
  • •Generated lineage, docs, and test results
  • •Personal Git branches and diffs
Explore dbt Core™ Transformations

Activation & Reverse ETL

Send modeled audiences, lead scores, and customer data to business applications. Choose the destination fields and record key, then check what was delivered.

  • •Source-to-destination field mappings
  • •Merge keys for matching records
  • •Loaded and failed row counts
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Orchestration

Connect ingestion, dbt Core projects, SQL and Python tasks, and activation in dependency order. Run independent steps in parallel and schedule the workflow together.

  • •Parallel steps and explicit dependencies
  • •SQL scripts and Snowflake Python tasks
  • •Schedules with upcoming-run previews
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Pipeline Monitoring

See what loaded and find what failed. Inspect individual objects and separate ingestion from loading to see where an update needs attention.

  • •Searchable activity history
  • •Object and stage metrics
  • •Failure, warning, and success email preferences
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Secure deployment, wherever you need it

Deploy anywhere

Run the Supaflow Agent in your VPC or natively on Snowflake SPCS. Keep credentials, staging data, and telemetry inside your perimeter.

Asymmetric encryption

Secrets are encrypted client-side before they ever reach Supaflow's control plane. Metadata in our AWS account contains configs and lineage—not customer data.

Compliance friendly

Because the data plane stays in your environment (or Snowflake compute), PHI and PII never leave your control. Combined with audit logging and SOC 2-aligned controls, Supaflow fits easily into BAA/HIPAA reviews.

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Salesforce Marketing Cloud

Ingest data from Email Studio, Contact Builder, Journey Builder, and Data Extensions, or activate warehouse data back into Salesforce Marketing Cloud.

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More Data Sources

Connect Google Analytics 4, Microsoft SQL Server, Oracle, and other operational systems to your warehouse from one platform.

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Git Workflows for dbt Core

Import a dbt project from Git, work on a personal branch, review diffs, and commit, pull, or push changes from Supaflow.

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Fixed-price, outcome-based migration

Move from Informatica or Talend to Supaflow pipelines and dbt Core models. Get a fixed project price tied to agreed deliverables and acceptance criteria.

Explore migration services

Frequently Asked Questions

How to run Supaflow, connect your tools, and manage pipelines after setup.

What does Supaflow combine in one platform?
Move source data into your warehouse, build and test dbt Core™ models, and sync the results to business applications. Schedule those steps together and monitor their runs from the same workspace.
Can I manage pipelines from an AI assistant or the command line?
Supaflow plugins let you use ChatGPT or Claude to inspect connections, prepare pipelines, start syncs, and investigate reported job errors. The Supaflow CLI supports datasource, pipeline, schedule, and job management for scripts and terminal workflows.
Explore Supaflow AI plugins
How do legacy ETL mappings become Supaflow pipelines and dbt models?
Our migration service assesses Informatica mappings or Talend jobs, shared logic, custom code, and execution dependencies. We design Supaflow pipelines for supported data movement and refactor suitable transformations into modular dbt Core models. Engineers resolve conversion gaps, test incremental behavior, and reconcile agreed outputs before cutover. The fixed-price proposal defines deliverables and acceptance criteria.
Explore our legacy ETL migration services
Can Supaflow run in our own environment or inside Snowflake?
Yes. Supaflow supports running the Supaflow Agent in your VPC and also offers a Snowflake SPCS deployment path for teams that want to keep compute and data handling inside Snowflake.
Does Supaflow support reverse ETL and activation workflows?
Yes. Supaflow supports pushing curated tables back into systems such as Salesforce, HubSpot, Marketo, and Google Ads with field mappings, merge keys, and per-run delivery metrics.
How does Supaflow help teams operate pipelines after setup?
Supaflow includes schedules, searchable activity history, per-object and stage metrics for pipeline runs, and configurable email notifications. dbt Core projects also provide generated lineage and test results.

Tools and resources

Build a connector, estimate costs, or find help with your next pipeline.

Connector SDK

Build your own connectors with AI-assisted dev skills when a source you need is not in the catalog.

Community

Patterns, integrations, and deep-dives from teams running Supaflow in production.

Pricing Calculator

Estimate monthly credits and cost from your source, destination, row volume, and sync cadence.

Company

Who we are, the problem we work on, and why we built a Snowflake-native data pipeline platform.

Build your first Supaflow pipeline.

Start for free, or book a demo to walk through your sources, destinations, and workflow.

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