Available Connectors

Managed data pipelines with incremental sync, automatic schema detection, and schema evolution. Connect Salesforce, HubSpot, PostgreSQL, Oracle Transportation Management, and more.

Why Supaflow

All connectors included

No per-connector fees. Every connector is available on every plan.

Pay for compute, not rows

Credit-based pricing. No per-row charges, no MAR surprises.

One platform

Ingestion, dbt Core transformation, reverse ETL, and orchestration in a single workspace.

Salesforce

Supaflow

Connector for Salesforce CRM

Goldv1.0.45

Snowflake

Supaflow

Snowflake Connector for loading data into Snowflake Warehouse

Goldv1.0.45

HubSpot

Supaflow

HubSpot CRM connector for syncing contacts, companies, deals, and custom objects

Silverv1.0.45

Airtable

Supaflow

Airtable connector for syncing bases, tables, and records from Airtable

Bronzev1.0.45

Google Drive

Supaflow

Google Drive connector for syncing structured data (CSV, TSV, Excel, Google Sheets) from Drive folders

Bronzev1.0.45

Oracle Transportation Management

Supaflow

Oracle Transportation Management (OTM) connector for syncing shipments, orders, releases, and logistics data

Bronzev1.0.45

PostgreSQL

Supaflow

Connector for PostgreSQL databases

Bronzev1.0.45

S3

Supaflow

S3 destination for data lake storage (legacy)

Bronzev1.0.45

S3 Data Lake

Supaflow

Load data into Amazon S3 as Parquet files or Apache Iceberg™ tables. Query with Athena, Snowflake, Spark, DuckDB, and other engines.

Bronzev1.0.45

Salesforce Marketing Cloud

Supaflow

Connector for Salesforce Marketing Cloud (SFMC) - Email Studio, Contact Builder, Journey Builder, and Data Extensions

Bronzev1.0.45

SFTP

Supaflow

SFTP source connector for syncing CSV, TSV, JSON, and JSONL files from SFTP servers

Bronzev1.0.46

SQL Server

Supaflow

Connector for Microsoft SQL Server and Azure SQL Database

Bronzev1.0.45

Facebook

Supaflow

Facebook Ads connector for social media advertising data

Coming Soonv0.0.0

Google Ads

Supaflow

Google Ads connector for advertising campaign data

Coming Soonv0.0.0

Google Analytics 4

Supaflow

Google Analytics 4 connector for web analytics data

Coming Soonv0.0.0

MySQL

Supaflow

MySQL database connector for data replication

Coming Soonv0.0.0

NetSuite

Supaflow

NetSuite ERP connector for financial and business data

Coming Soonv0.0.0

Oracle

Supaflow

Oracle Database connector for enterprise data integration

Coming Soonv0.0.0

SAP HANA DB

Supaflow

SAP HANA database connector for enterprise applications

Coming Soonv0.0.0

ServiceNow

Supaflow

ServiceNow platform connector for IT service management data

Coming Soonv0.0.0

Connector Maturity Levels

Every connector goes through a maturity lifecycle. The level indicates production readiness and the extent of real-world validation.

Gold

Multiple customers running in production with no issues reported for 30+ days. Fully validated for enterprise workloads.

Silver

Multiple customers running in production. Some low-severity issues may still be reported and addressed in regular releases.

Bronze

Early stage with at least one customer in production. Known issues may exist and are actively being resolved.

Beta

Being tested by early customers. Not yet recommended for production workloads. Functionality and APIs may change.

Need a connector we don't support yet?

Build one with AI-powered Connector Dev Skills.

Learn More About the Connector SDK

Frequently Asked Questions

Do you charge per connector?

No. Every connector is included on every plan at no extra cost. You only pay for the compute your pipelines consume, measured in Supaflow Credits (1 credit = 1 compute-hour on a Small node). There are no per-connector fees, no per-row charges, and no monthly active row (MAR) pricing.

What sync modes does Supaflow support?

Supaflow supports three sync modes. Full Refresh re-reads all data from the source every run. Incremental tracks a cursor field (typically a last-modified timestamp) to fetch only changed records. Re-Import is a scheduled full refresh for objects like lookup tables that need periodic replacement.

How does schema evolution work?

Supaflow automatically detects schema changes in your source systems. When new fields appear or existing fields change type, the pipeline handles them without manual intervention. Safe type widening (e.g., integer to long, or date to timestamp) is applied automatically. Breaking changes are flagged for review.

Can I run Supaflow inside my Snowflake account?

Yes. Supaflow offers a Snowflake Native App that runs directly inside your Snowflake account via Snowpark Container Services (SPCS). Your data never leaves your Snowflake environment, and you manage the compute within your existing Snowflake billing.

Do you offer a Python SDK for building connectors?

Yes. Install the Python SDK with: pip install supaflow-python-sdk. The SDK provides base classes for building source connectors in Python, with built-in support for schema discovery, incremental sync, and type mapping.

Do you offer a Java SDK for building connectors?

Yes. Add the Java SDK to your project with Maven: groupId io.supaflow, artifactId supaflow-connector-sdk. The SDK provides the SupaflowConnector interface and base classes for building source and destination connectors with full access to the pipeline engine, schema evolution, and connector lifecycle hooks.

How do I request a new connector?

Contact our sales team or use the AI-powered Connector Dev Skills to build your own. The skills framework guides AI coding assistants like Claude Code and OpenAI Codex through building production-grade connectors with incremental sync, schema discovery, and error handling.

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