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We aim to integrate Supabase with PostgreSQL into the data-river project to provide a scalable, real-time data persistence layer. This integration will enable structured data management for workflows, seamless real-time updates, and a robust authentication system, ensuring a solid backend infrastructure for the platform.
✅ Key Results (What are the measurable outcomes?)
[ ] Set up a self-hosted Supabase instance with PostgreSQL to manage real-time data and authentication for data-river.
[ ] Integrate Supabase’s real-time database features with the data-river backend to handle updates to workflows, nodes, and edges.
[ ] Implement authentication using Supabase Auth, ensuring that users can securely access and manage their workflows.
[ ] Test the data synchronization between Supabase and the data-river editor to confirm real-time updates are reflected in workflows.
[ ] Create comprehensive documentation for setting up, deploying, and managing the Supabase + PostgreSQL integration.
🏆 Success Criteria (How will we measure success?)
Success will be measured by achieving a fully functional Supabase and PostgreSQL integration, with real-time data updates reflecting instantly in data-river workflows. The setup should handle authentication seamlessly, and users should experience no lag when interacting with the platform. The feature is considered complete when it passes all integration tests and user acceptance testing.
⏳ Timeline (What is the timeframe for completion?)
Expected completion: Q4 2024
📝 Additional Notes
Ensure that the PostgreSQL schema is designed to support dynamic and flexible data structures, accommodating the open-source plugins in data-river. Weekly progress reviews will be conducted to ensure timely completion.
The text was updated successfully, but these errors were encountered:
🎯 Objective (What are we trying to achieve?)
We aim to integrate Supabase with PostgreSQL into the data-river project to provide a scalable, real-time data persistence layer. This integration will enable structured data management for workflows, seamless real-time updates, and a robust authentication system, ensuring a solid backend infrastructure for the platform.
✅ Key Results (What are the measurable outcomes?)
[ ] Set up a self-hosted Supabase instance with PostgreSQL to manage real-time data and authentication for data-river.
[ ] Integrate Supabase’s real-time database features with the data-river backend to handle updates to workflows, nodes, and edges.
[ ] Implement authentication using Supabase Auth, ensuring that users can securely access and manage their workflows.
[ ] Test the data synchronization between Supabase and the data-river editor to confirm real-time updates are reflected in workflows.
[ ] Create comprehensive documentation for setting up, deploying, and managing the Supabase + PostgreSQL integration.
🏆 Success Criteria (How will we measure success?)
Success will be measured by achieving a fully functional Supabase and PostgreSQL integration, with real-time data updates reflecting instantly in data-river workflows. The setup should handle authentication seamlessly, and users should experience no lag when interacting with the platform. The feature is considered complete when it passes all integration tests and user acceptance testing.
⏳ Timeline (What is the timeframe for completion?)
Expected completion: Q4 2024
📝 Additional Notes
Ensure that the PostgreSQL schema is designed to support dynamic and flexible data structures, accommodating the open-source plugins in data-river. Weekly progress reviews will be conducted to ensure timely completion.
The text was updated successfully, but these errors were encountered: