DB-GPT vs Langflow
Short answer
DB-GPT: AI data assistant that connects to your databases, writes SQL and code, and turns analysis into reports. Langflow: Visual builder for AI agents and RAG flows that you can deploy as APIs or MCP servers. Both are in our AI app & agent builders category.
Choose Langflow if you want: cheaper to host (from €11.99/mo vs €19.99/mo), lighter official minimum (1.5 GB vs 4 GB RAM), larger community (156k vs 20.2k GitHub stars) and simpler deploy (one container vs a multi-container stack).
Last updated · computed from each project's official docs and live GitHub data · sources
DB-GPT vs Langflow side by side
| DB-GPT | Langflow | |
|---|---|---|
| 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. | Visual builder for AI agents and RAG flows that you can deploy as APIs or MCP servers. |
| License | MIT | MIT |
| License type | Permissive | Permissive |
| License conditions | Permissive. Internal and commercial use, modification and redistribution allowed; keep the copyright and license notice. | Permissive. Internal and commercial use allowed; keep the copyright notice. |
| Status | Active | Active |
| GitHub stars | 20.2k | 156k |
| Last commit | Nov 2, 2026 | Nov 3, 2026 |
| Latest release | v0.8.2 | v1.13.0 |
| Minimum hardware | 2 vCPU · 4 GB RAM · 10 GB disk | 1 vCPU · 1.5 GB RAM |
| Recommended hardware | Not published | 2 vCPU · 4 GB RAM |
| RAM measured by us | Not tested yet | 1.2 GiB idle, 1.3 GiB working (our test, v1.12.7, Oct 22, 2026) |
| 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 | from €11.99/mo (recommended spec: €19.99/mo) |
| Deploy method | Docker Compose (web server + MySQL) | Docker |
| Known gotchas | 4 listed | 2 listed |
| Telemetry | Not documented | On by default |
| Calls home by default | Not documented | Not documented |
| SSO (OIDC / SAML / LDAP) | Not documented | Free (OIDC free) |
| Audit log | Not documented | Yes, free |
| RBAC | Not documented | No |
| Details | Full DB-GPT guide → | Full Langflow guide → |
Key differences
- Official hardware: DB-GPT: minimum 2 vCPU · 4 GB RAM · 10 GB disk. Langflow: minimum 1 vCPU · 1.5 GB RAM (recommended 2 vCPU · 4 GB RAM).
- GPU: DB-GPT: optional / see notes. Langflow: not required or not stated.
- Est. server cost: DB-GPT: from €19.99/mo. Langflow: from €11.99/mo.
- Deploy: DB-GPT: Docker Compose (web server + MySQL) · multi-container stack. Langflow: Docker · single container.
- GitHub stars: DB-GPT: 20.2k. Langflow: 156k.
- Last commit: DB-GPT: Nov 2, 2026. Langflow: Nov 3, 2026.
- Latest release: DB-GPT: v0.8.2 (Aug 26, 2026). Langflow: v1.13.0 (Oct 22, 2026).
Same for both: Category: AI app & agent builders; License: MIT (Permissive); Status: Active.
DB-GPT vs Langflow: FAQ
DB-GPT or Langflow: which should a small business choose?
Choose Langflow if you want: cheaper to host (from €11.99/mo vs €19.99/mo), lighter official minimum (1.5 GB vs 4 GB RAM), larger community (156k vs 20.2k GitHub stars) and simpler deploy (one container vs a multi-container stack).
Which is cheaper to self-host, DB-GPT or Langflow?
Langflow: cheaper to host (from €11.99/mo vs €19.99/mo).
How much hardware do DB-GPT and Langflow need?
DB-GPT: minimum 2 vCPU · 4 GB RAM · 10 GB disk. Langflow: minimum 1 vCPU · 1.5 GB RAM (recommended 2 vCPU · 4 GB RAM).
What is the license difference between DB-GPT and Langflow?
DB-GPT: MIT (Permissive). Permissive. Internal and commercial use, modification and redistribution allowed; keep the copyright and license notice. Langflow: MIT (Permissive). Permissive. Internal and commercial use allowed; keep the copyright notice. This is a summary, not legal advice.
Is DB-GPT or Langflow more actively maintained?
DB-GPT: Active, last commit Nov 2, 2026. Langflow: Active, last commit Nov 3, 2026. GitHub data refreshed Nov 3, 2026.
Which is easier to deploy, DB-GPT or Langflow?
DB-GPT installs via Docker Compose (web server + MySQL) (multi-container stack); Langflow via Docker (single container). DB-GPT lists 4 known gotchas and Langflow lists 2; see each app page.
Related
- DB-GPT self-hosting guide · Langflow 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
- Langflow GitHub repository: github.com/langflow-ai/langflow
- Langflow documentation, Langflow deploy instructions: docs.langflow.org/deployment-docker
- Langflow license: github.com/langflow-ai/langflow/blob/main/LICENSE
- Langflow hardware requirements: docs.langflow.org/deployment-prod-best-practices
- 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.