DB-GPT vs Flowise
Short answer
DB-GPT: AI data assistant that connects to your databases, writes SQL and code, and turns analysis into reports. Flowise: Drag-and-drop builder for LLM agents and chatflows (archived August 2026). Both are in our AI app & agent builders category.
Flowise's repository is archived, so it gets no updates or security fixes. For a new deployment, DB-GPT is the maintained option; Flowise only makes sense if you already run it.
Choose DB-GPT if you want: fewer license conditions (Permissive vs Open core) and an actively maintained project (Flowise is archived).
Choose Flowise if you want: larger community (55.5k vs 20.2k GitHub stars).
Flowise publishes no official RAM figure, so we cannot compare hosting cost directly.
Last updated · computed from each project's official docs and live GitHub data · sources
DB-GPT vs Flowise side by side
| DB-GPT | Flowise | |
|---|---|---|
| Category | AI app & agent builders | AI app & agent builders |
| What it is | AI data assistant that connects to your databases, writes SQL and code, and turns analysis into reports. | Drag-and-drop builder for LLM agents and chatflows (archived August 2026). |
| License | MIT | Apache-2.0 (enterprise directory under a commercial license) |
| License type | Permissive | Open core |
| License conditions | Permissive. Internal and commercial use, modification and redistribution allowed; keep the copyright and license notice. | Most of the code is Apache-2.0. Code under packages/server/src/enterprise and files with explicit copyright notices are under a separate commercial license. |
| Status | Active | Archived |
| GitHub stars | 20.2k | 55.5k |
| Last commit | Nov 2, 2026 | Aug 13, 2026 |
| Latest release | v0.8.2 | [email protected] |
| Minimum hardware | 2 vCPU · 4 GB RAM · 10 GB disk | Not published |
| Recommended hardware | Not published | Not published |
| RAM measured by us | Not tested yet | Not tested yet |
| GPU | Optional. API proxy models (OpenAI, DeepSeek, Qwen, SiliconFlow) need no GPU and run on a CPU-only machine; local inference with vLLM or Hugging Face needs an NVIDIA GPU (8 GB+ VRAM for 7B models, 24 GB+ for 13B+). | Not required / not stated |
| Est. server cost | from €19.99/mo | Not estimated |
| Deploy method | Docker Compose (web server + MySQL) | npm or Docker Compose |
| Known gotchas | 4 listed | 3 listed |
| Telemetry | Not documented | Not documented |
| Calls home by default | Not documented | Not documented |
| SSO (OIDC / SAML / LDAP) | Not documented | Paid / enterprise only (OIDC paid) |
| Audit log | Not documented | Not documented |
| RBAC | Not documented | Paid / enterprise only |
| Details | Full DB-GPT guide → | Full Flowise guide → |
Key differences
- License: DB-GPT: MIT (Permissive). Flowise: Apache-2.0 (enterprise directory under a commercial license) (Open core).
- Official hardware: DB-GPT: minimum 2 vCPU · 4 GB RAM · 10 GB disk. Flowise: not published.
- GPU: DB-GPT: optional / see notes. Flowise: not required or not stated.
- Est. server cost: DB-GPT: from €19.99/mo. Flowise: not estimated (no official RAM figure).
- Deploy: DB-GPT: Docker Compose (web server + MySQL) · multi-container stack. Flowise: npm or Docker Compose · multi-container stack.
- Status: DB-GPT: Active. Flowise: Archived.
- GitHub stars: DB-GPT: 20.2k. Flowise: 55.5k.
- Last commit: DB-GPT: Nov 2, 2026. Flowise: Aug 13, 2026.
- Latest release: DB-GPT: v0.8.2 (Aug 26, 2026). Flowise: [email protected] (Jul 29, 2026).
Same for both: Category: AI app & agent builders.
DB-GPT vs Flowise: FAQ
DB-GPT or Flowise: which should a small business choose?
Flowise's repository is archived, so it gets no updates or security fixes. For a new deployment, DB-GPT is the maintained option; Flowise only makes sense if you already run it. Choose DB-GPT if you want: fewer license conditions (Permissive vs Open core) and an actively maintained project (Flowise is archived). Choose Flowise if you want: larger community (55.5k vs 20.2k GitHub stars). Flowise publishes no official RAM figure, so we cannot compare hosting cost directly.
Which is cheaper to self-host, DB-GPT or Flowise?
DB-GPT: from €19.99/mo. Flowise: not estimated (no official RAM figure). Our estimate is the cheapest Hetzner Cloud plan that meets each project's official RAM and vCPU figure; it covers the server only.
How much hardware do DB-GPT and Flowise need?
DB-GPT: minimum 2 vCPU · 4 GB RAM · 10 GB disk. Flowise: not published.
What is the license difference between DB-GPT and Flowise?
DB-GPT: MIT (Permissive). Permissive. Internal and commercial use, modification and redistribution allowed; keep the copyright and license notice. Flowise: Apache-2.0 (enterprise directory under a commercial license) (Open core). Most of the code is Apache-2.0. Code under packages/server/src/enterprise and files with explicit copyright notices are under a separate commercial license. This is a summary, not legal advice.
Is DB-GPT or Flowise more actively maintained?
DB-GPT: Active, last commit Nov 2, 2026. Flowise: Archived, last commit Aug 13, 2026. GitHub data refreshed Nov 3, 2026.
Which is easier to deploy, DB-GPT or Flowise?
DB-GPT installs via Docker Compose (web server + MySQL) (multi-container stack); Flowise via npm or Docker Compose (multi-container stack). DB-GPT lists 4 known gotchas and Flowise lists 3; see each app page.
Related
- DB-GPT self-hosting guide · Flowise self-hosting guide
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Sources
- DB-GPT GitHub repository: github.com/eosphoros-ai/DB-GPT
- DB-GPT documentation, DB-GPT deploy instructions: github.com/eosphoros-ai/DB-GPT/blob/main/docs/docs/getting-started/deploy/docker-compose.md
- DB-GPT license: github.com/eosphoros-ai/DB-GPT/blob/main/LICENSE
- DB-GPT hardware requirements: github.com/eosphoros-ai/DB-GPT/blob/main/docs/docs/getting-started/prerequisites.md
- Flowise GitHub repository: github.com/FlowiseAI/Flowise
- Flowise documentation, Flowise hardware requirements, Flowise deploy instructions: github.com/FlowiseAI/Flowise#readme
- Flowise license: github.com/FlowiseAI/Flowise/blob/main/LICENSE.md
- Hetzner Cloud pricing used for cost estimates (read 2026-11-01): www.hetzner.com/cloud/regular-performance
- GitHub REST API (stars, commits, releases): docs.github.com/en/rest
Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.