{"repo":"chiqors/superset-ducklake","free":true,"listed":false,"github":"https://github.com/chiqors/superset-ducklake","clone":"git clone https://github.com/chiqors/superset-ducklake.git","description":"Production-ready Apache Superset with DuckLake integration. Stateless analytics architecture using DuckDB for compute, PostgreSQL for metadata, and S3/GCS/MinIO for data lake storage. Includes Docker Compose, Kubernetes Helm charts, BigQuery Integration, and CI/CD workflows. Supports MotherDuck cloud integration.","language":"Python","stars":12,"topics":["analytics","apache-superset","data-lakehouse","duckdb","ducklake","google-cloud-storage","postgresql","analytics-platform","data-warehouse","gcs"],"license":"MIT","category":"analytics","readme_excerpt":"Superset with DuckLake Integration This repository contains a production-ready configuration for Apache Superset integrated with DuckLake . It enables a stateless analytics architecture where: - Compute : DuckDB (running within Superset container) - Metadata : PostgreSQL (persistent storage for DuckDB/DuckLake catalogs) - Data : - Google Cloud Storage (GCS) - Amazon S3 / MinIO (Any S3-compatible storage) Architecture Key Features - Stateless Application : No analytic data is stored in the Superset container. - Persistent Metadata : DuckLake catalogs are stored in the ducklake analytics PostgreSQL database. - Dual Connection : - DuckLake Analytics : The high-performance DuckDB engine for querying your data lake. - DuckLake Metadata : A direct Postgres connection to inspect your schemas, tables, and internal DuckDB metadata. - Multi-Cloud Support : Connect to GCS , AWS S3 , or self-hosted MinIO simultaneously. - BigQuery Integration : Native support for querying BigQuery datasets through DuckDB BigQuery plugin (Kubernetes deployment). - Secure Credentials : Credentials are managed via environment variables and persistent DuckDB secrets. - Scalable Architecture : - Simple Mode : Monolithic container for development. - Production Mode : Microservices with Async Workers, Valkey caching, and Celery . - Kubernetes Ready : Helm charts included for cloud-native deployment. - MotherDuck Support : Optional integration for cloud-native scaling. Prerequisites - Docker & Docker Compose - D","default_branch":null,"files":null,"tree":[],"storefront":"/r/chiqors","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/chiqors/superset-ducklake/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}