Enterprise Self-Hosted Supabase
Self-host enterprise-grade Supabase with Pigsty, featuring monitoring, high availability, PITR, IaC, and 440+ PostgreSQL extensions.
Self-host enterprise-grade Supabase with Pigsty, featuring monitoring, high availability, PITR, IaC, and 440+ PostgreSQL extensions.
How to spin up an out-of-the-box enterprise application suite Odoo and use Pigsty to manage its backend PostgreSQL database.
How to self-host the AI Workflow LLMOps platform — Dify, using external PostgreSQL, PGVector, and Redis for storage with Pigsty?
Use NocoDB to transform PostgreSQL databases into smart spreadsheets, a no-code database application platform.
Build AI-powered no-code database applications with Teable to boost team productivity.
Launch the self-hosting Git service with Gitea and Pigsty managed PostgreSQL
How to self-hosting your own wikipedia with Wiki.js and use Pigsty managed PostgreSQL as the backend database
Build a private team collaboration platform with Mattermost, the open-source Slack alternative.
Manage personal finances with Maybe, the open-source Mint/Personal Capital alternative.
Use Metabase for rapid business intelligence analysis with a user-friendly interface for team self-service data exploration.
Learn how to deploy Kong, the API gateway, with Docker Compose and use external PostgreSQL as the backend database
Deploy Docker Registry mirror service to accelerate Docker image pulls, especially useful for users in China.
Self-hosting bytebase with PostgreSQL managed by Pigsty
Launch pgAdmin4 with docker, and load Pigsty server list into it
Launch pgweb to access PostgreSQL via web browser
Launch postgREST to generate REST API from PostgreSQL schema automatically
Use Electric to solve PostgreSQL data synchronization challenges with partial replication and real-time data transfer.
Run Jupyter Lab in container, and access PostgreSQL database
How to self-host Supabase with Pigsty, deploy an open-source Firebase alternative with a complete backend stack in one click.
How to deploy PostgresML with Pigsty: ML, training, inference, Embedding, RAG inside DB.