pg-warehouse - A local-first data warehouse at scale without over Engineering that mirrors PostgreSQL data - no pipelines needed!

PostgreSQL → DuckDB → SQL Engine → Parquet →And beyond .... A Local-First Analytics Pipeline Data teams often spend more time operating infrastructure than actually building features. To construct an AI feature pipeline, organizations frequently spin up heavy stacks consisting of: Large cloud VMs Distributed compute clusters Streaming infrastructure Data warehouses Orchestration systems These systems consume significant engineering effort and infrastructure cost before a single feature is produced. The irony is that the core goal of most pipelines is simple: transform operational data into features for analytics or machine learning. Yet the industry default architecture looks like this: PostgreSQL → Kafka → Spark/Flink → Data Warehouse → Feature Store This architecture is powerful — but also massively over-engineered for many workloads. Most teams simply want to: Mirror production data Run SQL transformations Generate datasets Export them to analytics or AI pipelines But instead they e