---
title: "DB-GPT vs supabase"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/eosphoros-ai-db-gpt-vs-supabase-supabase"
tools: ["eosphoros-ai-db-gpt", "supabase-supabase"]
---

# DB-GPT vs supabase

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick DB-GPT if dB-GPT is an open-source framework that integrates with various LLM services, streamlining tasks from reasoning to SQL execution and planning; pick supabase if primarily considered for applications needing a dedicated PostgreSQL environment with added features like authentication and real-time data synchronization.

[DB-GPT](http://docs.dbgpt.cn) reports 19k GitHub stars, 2.8k forks, and 427 open issues, last pushed Jul 10, 2026. [supabase](https://supabase.com) has 106k stars, 13k forks, and 1.1k open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [DB-GPT's repository](https://github.com/eosphoros-ai/DB-GPT) and [supabase's repository](https://github.com/supabase/supabase).

| | [DB-GPT](/tools/eosphoros-ai-db-gpt.md) | [supabase](/tools/supabase-supabase.md) |
| --- | --- | --- |
| Tagline | open-source agentic AI data assistant for the next generation of AI + Data products | The Postgres development platform. |
| Stars | 19,443 | 106,150 |
| Forks | 2,812 | 13,184 |
| Open issues | 427 | 1,077 |
| Language | Python | TypeScript |
| Adopt for | DB-GPT is an open-source framework that integrates with various LLM services, streamlining tasks from reasoning to SQL execution and planning. | Primarily considered for applications needing a dedicated PostgreSQL environment with added features like authentication and real-time data synchronization. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | Data & Retrieval, LLM Frameworks | Data & Retrieval |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [DB-GPT](/tools/eosphoros-ai-db-gpt.md) | [supabase](/tools/supabase-supabase.md) |
| --- | --- | --- |
| Days since push | 1d | 0d |
| Open issues (now) | 427 | 1.1k |
| Full report | [trust report](/tools/eosphoros-ai-db-gpt/trust.md) | [trust report](/tools/supabase-supabase/trust.md) |

## Decision facts: DB-GPT

- **Adopt for:** DB-GPT is an open-source framework that integrates with various LLM services, streamlining tasks from reasoning to SQL execution and planning.

## Decision facts: supabase

- **Pricing:** freemium - Offers free plans with paid tiers for additional capacity and enterprise features.
- **Requirements:** Supports deployment in multiple cloud environments including AWS, DigitalOcean, and Vercel
- **Adopt for:** Primarily considered for applications needing a dedicated PostgreSQL environment with added features like authentication and real-time data synchronization.

## Choose when

### Choose DB-GPT if…

- DB-GPT is primarily Python; supabase is TypeScript.
- License: DB-GPT is MIT, supabase is Apache-2.0.
- Tags unique to DB-GPT: agents, bgi, deepseek, gpt.
- Also covers LLM Frameworks.
- DB-GPT ships Docker support for self-hosted deployment.
- - You need a tool that can handle complex data processing and task automation using AI.

### Choose supabase if…

- supabase is primarily TypeScript; DB-GPT is Python.
- License: supabase is Apache-2.0, DB-GPT is MIT.
- Pricing: Offers free plans with paid tiers for additional capacity and enterprise features..
- Requirements: Supports deployment in multiple cloud environments including AWS, DigitalOcean, and Vercel.
- Tags unique to supabase: ai, alternative, auth, embeddings.
- - When developing AI applications that require seamless integration with a PostgreSQL database through websockets for a real-time experience

## When NOT to use DB-GPT

- - You are looking for a heavily community-customized or fine-tuned experience as,DB-GPT's flexibility might be limited compared to more customizable systems.
- - Your use case strictly requires proprietary services and you seek a tool without dependency on third-party LLM services which DB-GPT inherently relies upon.
- - Deployment contexts that strictly adhere to closed-source frameworks or environments where open-source software is restricted might not align well with DB-GPT’s licensing model.

## When NOT to use supabase

- - In scenarios where a highly customizable database backend is required with deep control over every aspect; Supabase offers limited customization beyond its defined set of features
- - For projects wanting to avoid tightly coupling their authentication and authorization schemes within the same system as data storage, as Supabase integrates both closely

## Common questions

### What is the difference between DB-GPT and supabase?

DB-GPT: open-source agentic AI data assistant for the next generation of AI + Data products. supabase: The Postgres development platform.. See the comparison table for live GitHub stats and shared categories.

### When should I choose DB-GPT over supabase?

Choose DB-GPT over supabase when DB-GPT is primarily Python; supabase is TypeScript; License: DB-GPT is MIT, supabase is Apache-2.0; Tags unique to DB-GPT: agents, bgi, deepseek, gpt; Also covers LLM Frameworks; DB-GPT ships Docker support for self-hosted deployment; - You need a tool that can handle complex data processing and task automation using AI.

### When should I choose supabase over DB-GPT?

Choose supabase over DB-GPT when supabase is primarily TypeScript; DB-GPT is Python; License: supabase is Apache-2.0, DB-GPT is MIT; Pricing: Offers free plans with paid tiers for additional capacity and enterprise features.; Requirements: Supports deployment in multiple cloud environments including AWS, DigitalOcean, and Vercel; Tags unique to supabase: ai, alternative, auth, embeddings; - When developing AI applications that require seamless integration with a PostgreSQL database through websockets for a real-time experience.

### When should I avoid DB-GPT?

- You are looking for a heavily community-customized or fine-tuned experience as,DB-GPT's flexibility might be limited compared to more customizable systems. - Your use case strictly requires proprietary services and you seek a tool without dependency on third-party LLM services which DB-GPT inherently relies upon. - Deployment contexts that strictly adhere to closed-source frameworks or environments where open-source software is restricted might not align well with DB-GPT’s licensing model.

### When should I avoid supabase?

- In scenarios where a highly customizable database backend is required with deep control over every aspect; Supabase offers limited customization beyond its defined set of features - For projects wanting to avoid tightly coupling their authentication and authorization schemes within the same system as data storage, as Supabase integrates both closely

### Is DB-GPT or supabase more popular on GitHub?

supabase has more GitHub stars (106,150 vs 19,443). Stars measure visibility, not whether either tool fits your constraints.

### Are DB-GPT and supabase open source?

Yes - both are open-source projects on GitHub (DB-GPT: MIT, supabase: Apache-2.0).

### Where can I find alternatives to DB-GPT or supabase?

GraphCanon lists graph-backed alternatives at [DB-GPT alternatives](/tools/eosphoros-ai-db-gpt/alternatives) and [supabase alternatives](/tools/supabase-supabase/alternatives) ([DB-GPT markdown twin](/tools/eosphoros-ai-db-gpt/alternatives.md), [supabase markdown twin](/tools/supabase-supabase/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/eosphoros-ai-db-gpt-vs-supabase-supabase.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, DB-GPT or supabase?

DB-GPT: Very active. supabase: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for DB-GPT and supabase?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DB-GPT trust report](/tools/eosphoros-ai-db-gpt/trust); [supabase trust report](/tools/supabase-supabase/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=eosphoros-ai-db-gpt`](/api/graphcanon/graph?tool=eosphoros-ai-db-gpt)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
