Supaflow is a unified platform that handles data ingestion, transformation, orchestration, and reverse‑ETL activation, allowing modern data teams to connect SaaS apps and databases, run incremental syncs with schema‑drift detection, and push curated tables back to business
Funding
Funding not disclosed
Founders
Product
Problem
Data teams often have to stitch together separate tools for ingestion, transformation, orchestration, and reverse ETL, leading to complex setups, scattered credentials, and frequent operational failures.
Solution
Supaflow offers a single platform that combines data ingestion, dbt Core™ transformations, reverse ETL activation, orchestration, and observability. Users can connect to SaaS applications and databases, run historical and incremental syncs with schema‑drift detection, and push curated tables back to business systems using built‑in guardrails. The platform can be deployed in a customer VPC or natively inside Snowflake via Snowpark Container Services, keeping data and credentials inside the organization’s environment. Compute usage is billed per credit (hour of agent compute), providing predictable, usage‑based costs as data volumes grow.
Target Audience
Primary customers are modern data engineering teams in mid‑size to large enterprises that need to move data between SaaS applications, data warehouses, and downstream business systems while maintaining security and operational simplicity.
Features
- Pre‑built connectors for Salesforce, HubSpot, NetSuite, Postgres, and many other SaaS and database sources with incremental sync, checksum validation, and automatic schema‑drift alerts
- Integrated dbt Core™ transformation support (roadmap) with Git‑backed workspaces, branch previews, and shared lineage across pipelines
- Reverse ETL activation pipelines that include field mapping, audience previews, automatic retries, and backfills for pushing data to CRM, marketing, and ad platforms
- Centralized orchestration with scheduling, dependency management, pause/resume controls, and instant replay of failed runs
- Full observability: real‑time telemetry, row counts, lineage graphs, alerts, and audit trails for compliance reporting
- Secure deployment options: Supaflow Agent runs in a customer VPC or as a Snowflake Snowpark Container Service; asymmetric client‑side encryption protects credentials
- Credit‑based pricing tied to compute‑hour usage, enabling predictable costs and scaling with data volume