Coze Studio vs DB-GPT

Short answer

Coze Studio: Open-source edition of ByteDance's Coze agent-building platform. DB-GPT: AI data assistant that connects to your databases, writes SQL and code, and turns analysis into reports. Both are in our AI app & agent builders category.

Our data does not separate them on cost, hardware, license, activity or deploy method (or one of them does not publish the figure). Decide on features: read the descriptions on each app page and try both.

Last updated · computed from each project's official docs and live GitHub data · sources

Coze Studio vs DB-GPT side by side

Coze StudioDB-GPT
CategoryAI app & agent buildersAI app & agent builders
What it isOpen-source edition of ByteDance's Coze agent-building platform.AI data assistant that connects to your databases, writes SQL and code, and turns analysis into reports.
LicenseApache-2.0MIT
License typePermissivePermissive
License conditionsPermissive. Internal and commercial use allowed; keep license and notices.Permissive. Internal and commercial use, modification and redistribution allowed; keep the copyright and license notice.
StatusActiveActive
GitHub stars21.8k20.2k
Last commitJul 29, 2026Nov 2, 2026
Latest releasev0.5.1v0.8.2
Minimum hardware2 vCPU · 4 GB RAM2 vCPU · 4 GB RAM · 10 GB disk
Recommended hardwareNot publishedNot published
RAM measured by usNot tested yetNot tested yet
GPUNot required / not statedOptional. 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+).
Est. server costfrom €19.99/mofrom €19.99/mo
Deploy methodDocker ComposeDocker Compose (web server + MySQL)
Known gotchas2 listed4 listed
TelemetryNot documentedNot documented
Calls home by defaultNot documentedNot documented
SSO (OIDC / SAML / LDAP)Not documentedNot documented
Audit logNot documentedNot documented
RBACNot documentedNot documented
DetailsFull Coze Studio guide →Full DB-GPT guide →

Key differences

  • License: Coze Studio: Apache-2.0 (Permissive). DB-GPT: MIT (Permissive).
  • Official hardware: Coze Studio: minimum 2 vCPU · 4 GB RAM. DB-GPT: minimum 2 vCPU · 4 GB RAM · 10 GB disk.
  • GPU: Coze Studio: not required or not stated. DB-GPT: optional / see notes.
  • Deploy: Coze Studio: Docker Compose · multi-container stack. DB-GPT: Docker Compose (web server + MySQL) · multi-container stack.
  • GitHub stars: Coze Studio: 21.8k. DB-GPT: 20.2k.
  • Last commit: Coze Studio: Jul 29, 2026. DB-GPT: Nov 2, 2026.
  • Latest release: Coze Studio: v0.5.1 (Feb 5, 2026). DB-GPT: v0.8.2 (Aug 26, 2026).

Same for both: Category: AI app & agent builders; Est. server cost: from €19.99/mo; Status: Active.

The two projects share too few published figures for a data-based recommendation. We do not fill gaps with guesses.

Coze Studio vs DB-GPT: FAQ

Coze Studio or DB-GPT: which should a small business choose?

Our data does not separate them on cost, hardware, license, activity or deploy method (or one of them does not publish the figure). Decide on features: read the descriptions on each app page and try both.

Which is cheaper to self-host, Coze Studio or DB-GPT?

Coze Studio: from €19.99/mo. DB-GPT: from €19.99/mo. 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 Coze Studio and DB-GPT need?

Coze Studio: minimum 2 vCPU · 4 GB RAM. DB-GPT: minimum 2 vCPU · 4 GB RAM · 10 GB disk.

What is the license difference between Coze Studio and DB-GPT?

Coze Studio: Apache-2.0 (Permissive). Permissive. Internal and commercial use allowed; keep license and notices. DB-GPT: MIT (Permissive). Permissive. Internal and commercial use, modification and redistribution allowed; keep the copyright and license notice. This is a summary, not legal advice.

Is Coze Studio or DB-GPT more actively maintained?

Coze Studio: Active, last commit Jul 29, 2026. DB-GPT: Active, last commit Nov 2, 2026. GitHub data refreshed Nov 3, 2026.

Which is easier to deploy, Coze Studio or DB-GPT?

Coze Studio installs via Docker Compose (multi-container stack); DB-GPT via Docker Compose (web server + MySQL) (multi-container stack). Coze Studio lists 2 known gotchas and DB-GPT lists 4; see each app page.

Related

Sources

Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.