Open Source Data Infrastructure
Build pipelines with Starflow, serve data with Quack on Demand. Each works on its own: Starflow runs on any warehouse, Quack on Demand works with any ETL. Both Apache-2.0.
Declarative data pipelines as YAML.
Ingest, transform, and orchestrate with native SQL on DuckDB, BigQuery, Snowflake, and Redshift. CLI-first. Runs anywhere. Or let Starflow's AI generate the config from plain English.
Autoscale DuckDB fleets on demand.
Runs fleets of DuckDB Quack nodes on your own Kubernetes. Per-tenant isolation, fine-grained ACLs, federated queries. Query it from any ODBC/JDBC/ADBC client. Works with any ETL.
Open governance
Safe to depend on. Safe to recommend.
Stays Apache-2.0
Both projects are Apache-2.0 and will stay that way. No relicensing to BSL or SSPL. A public, standing commitment.
No telemetry by default
Neither project phones home. No usage tracking, no contact capture, no visibility into your users.
Open contribution
DCO-signed pull requests, transparent review, issues triaged in public on GitHub.
Public roadmap
Direction is decided in the open. Built on neutral, vendor-agnostic standards (Arrow Flight SQL, DuckLake).