# ModelScope vs Tinybird

ModelScope는 월간 방문 3,085,423, 전월 대비 성장률 +5.1%, 무료 가격 모델을 기록합니다. Tinybird는 월간 방문 85,443, 성장률 -24.7%, 무료+유료 가격 모델을 기록합니다.

| 지표 | [ModelScope](https://openaitools.app/ko/tool/modelscope-community) | [Tinybird](https://openaitools.app/ko/tool/tinybird) |
| :--- | :--- | :--- |
| 웹사이트 URL | https://www.modelscope.cn | https://www.tinybird.co |
| 카테고리 | 오픈소스 AI 모델, AI 모델, AI 개발자 도구, Large Language Models (LLMs) | AI 개발자 도구, AI API, 데이터 분석용 AI, AI 코드 어시스턴트 |
| 가격 모델 | 무료 | 무료+유료 |
| 월간 방문 수 | 3,085,423 | 85,443 |
| 전월 대비 성장률 | +5.1% | -24.7% |
| 주요 시장 | 중국 | 스페인 |
| 직접 방문 | 2,108,104 | 22,613 |
| 리뷰 점수 | 4.5 | 4.6 |
| 저장 수 | 0 | 0 |
| 지원 플랫폼 | 웹사이트 | 웹사이트 |

## ModelScope

ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.

**가격 및 요금제:** Free to use. Browsing, downloading models and datasets, and running online demos are free; free GPU/CPU notebook credits and hosted inference are available, with additional cloud resources tied to Alibaba Cloud services.

- **Model & Dataset Hub:** Browse and download thousands of pretrained models and datasets across NLP, vision, audio, and multimodal tasks.
- **One-click Online Demos:** Try models directly in the browser through hosted inference demos without local setup.
- **Free Notebook Compute:** Run training and fine-tuning in cloud notebooks with complimentary GPU and CPU resources.
- **Python Library & SDK:** Integrate ModelScope models into your own pipelines using the official Python package and APIs.
- **Community & Benchmarks:** Join competitions, publish model cards, and compare results through community benchmarks and leaderboards.

**강점:** Huge, free catalog of models and datasets; Built-in online demos require no installation; Complimentary GPU/CPU notebook compute; Strong integration with Alibaba Cloud for scaling

**한계:** Much of the documentation is Chinese-first; Hosted features may require an account and regional access; Interface can feel dense for newcomers

[Profile (Markdown)](https://openaitools.app/ko/tool/modelscope-community.md)

## Tinybird

Tinybird is a data platform that pairs managed ClickHouse® with a hosted API, ingestion and MCP layer so engineering teams can build and ship real-time analytics products without operating database clusters themselves. It combines sub-second SQL querying, streaming and batch ingestion connectors, branching workflows and AI-agent tooling in one workflow.

**가격 및 요금제:** Freemium. A free tier with no credit card offers 0.25 vCPUs, 1,000 requests per day and 10 GB storage. The Developer plan is listed at $49/month with 0.5 vCPUs and 25 GB storage (a $25/month starting tier is also referenced), while SaaS and Enterprise are custom-quoted with elastic compute billing. Overage rates, storage and egress charges are published on the pricing page; confirm current numbers there as they change.

- **Managed ClickHouse® with a hosted API layer:** Write SQL and publish it as low-latency HTTP endpoints, backed by columnar storage and serverless scaling, without managing clusters, sharding or Zookeeper.
- **Flexible ingestion connectors:** Stream events over an HTTP Events API, Kafka, S3, GCS, DynamoDB or URLs in Parquet, CSV and NDJSON, so telemetry, transactions and logs land where you can query them.
- **Branches and zero-downtime schema iteration:** Create zero-copy, full-stack environments with production data for testing, and roll out schema changes as safe migrations without taking the system offline.
- **Built for coding agents and SDKs:** A CLI plus TypeScript and Python SDKs, along with agent skills and a remote MCP server, let AI coding assistants build and deploy analytics pipelines directly.
- **Enterprise controls and compliance:** Dedicated clusters, compute-compute separation, private networking, SSO/SAML, RBAC, bottomless storage and SOC 2 Type II / HIPAA / GDPR alignment for regulated teams.

**강점:** Removes the operational overhead of self-hosting ClickHouse — no Zookeeper, sharding or manual backfills; SQL-first workflow with branches, Git integration and zero-downtime migrations feels like shipping application code; Genuinely low-latency queries on large event volumes, verified by high-traffic customers; Strong AI-agent support via MCP server, agent skills and SDKs across TypeScript and Python

**한계:** Pricing scales with compute, storage and egress, so costs can be harder to forecast than fixed plans; Value depends on adopting SQL and the pipe/branch model, which is a learning curve for teams used to traditional BI stacks; Deep integrations with CRM, BI or warehouse tooling may lag more established analytics platforms; Best-suited to engineering-led teams; less of a turnkey solution for non-technical users

[Profile (Markdown)](https://openaitools.app/ko/tool/tinybird.md)

## 자주 묻는 질문

### ModelScope과(와) Tinybird의 월간 트래픽은 어떻게 비교되나요?

ModelScope의 월간 방문 수는 3,085,423이고, Tinybird는 85,443입니다. 트래픽 추정치는 제품 품질이 아니라 사용자 규모를 나타냅니다.

### 두 도구의 성장률은 어떻게 비교되나요?

ModelScope의 전월 대비 성장률은 +5.1%이며, Tinybird는 -24.7%입니다.

### 가격은 어떻게 비교되나요?

ModelScope: 무료. Free to use. Browsing, downloading models and datasets, and running online demos are free; free GPU/CPU notebook credits and hosted inference are available, with additional cloud resources tied to Alibaba Cloud services. Tinybird: 무료+유료. Freemium. A free tier with no credit card offers 0.25 vCPUs, 1,000 requests per day and 10 GB storage. The Developer plan is listed at $49/month with 0.5 vCPUs and 25 GB storage (a $25/month starting tier is also referenced), while SaaS and Enterprise are custom-quoted with elastic compute billing. Overage rates, storage and egress charges are published on the pricing page; confirm current numbers there as they change.

## 대안

| # | 도구 이름 | 월간 방문 수 | 전월 대비 성장률 | 가격 모델 | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Hugging Face](https://openaitools.app/ko/tool/hugging-face) | 31,232,542 | +0.1% | 무료+유료, 유료 | ModelScope보다 훨씬 방대한 모델 및 데이터셋 저장소를 제공하는 글로벌 표준 오픈소스 AI 허브입니다. | [.md](https://openaitools.app/ko/tool/hugging-face.md) |
| 2 | [OpenRouter](https://openaitools.app/ko/tool/openrouter-ai) | 19,941,437 | -6.2% | 유료 | Convenient API gateway for multi-model access, but does not provide ModelScope's open-source model repository or dataset hosting. | [.md](https://openaitools.app/ko/tool/openrouter-ai.md) |
| 3 | [Ollama](https://openaitools.app/ko/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | LLM 실행을 위한 간소화된 로컬 CLI 런타임이지만, ModelScope와 같은 웹 기반 모델 호스팅 및 데이터셋 탐색 기능은 부족합니다. | [.md](https://openaitools.app/ko/tool/ollama.md) |
| 4 | [Civitai](https://openaitools.app/ko/tool/civitai) | 6,963,136 | +12.8% | 무료+유료 | 이미지 및 미디어 생성 모델에 특화된 우수한 커뮤니티 허브이지만, ModelScope와 같은 폭넓은 NLP 및 코드 지원은 부족합니다. | [.md](https://openaitools.app/ko/tool/civitai.md) |
| 5 | [Together AI](https://openaitools.app/ko/tool/together-ai) | 1,645,930 | +64.9% | 무료+유료, 유료 | API를 통해 오픈소스 모델을 실행하기 위한 강력한 클라우드 인프라이지만, ModelScope와 같은 커뮤니티 주도 모델 탐색 및 데모 작업 공간은 부족합니다. | [.md](https://openaitools.app/ko/tool/together-ai.md) |
| 6 | [Open WebUI](https://openaitools.app/ko/tool/open-webui) | 804,534 | -2.8% | 무료+유료 | 로컬 모델을 위한 기능이 풍부한 자체 호스팅 채팅 인터페이스이지만, ModelScope와 같은 원시 모델 가중치 및 데이터셋의 종합적인 저장소는 부족합니다. | [.md](https://openaitools.app/ko/tool/open-webui.md) |
| 7 | [Labelbox](https://openaitools.app/ko/tool/labelbox) | 762,803 | -22.8% | 가격 문의 | 최전선 AI가 학습하는 환경, 그리고 반복 업무를 맡는 에이전트 | [.md](https://openaitools.app/ko/tool/labelbox.md) |
| 8 | [Convex](https://openaitools.app/ko/tool/convex) | 390,417 | -18.7% | 무료+유료, 유료 | 데이터베이스, 함수, AI 게이트웨이를 통합한 리액티브 TypeScript 백엔드 | [.md](https://openaitools.app/ko/tool/convex.md) |
| 9 | [Weights & Biases(CoreWeave Forge)](https://openaitools.app/ko/tool/prompts) | 315,624 | -80.2% | 무료+유료, 가격 문의, 무료 | 하나의 연결 환경에서 AI 모델과 에이전트를 추적·평가·배포하세요. | [.md](https://openaitools.app/ko/tool/prompts.md) |
| 10 | [Jan](https://openaitools.app/ko/tool/jan) | 291,894 | -9.6% | 무료 | 로컬 모델 실행을 위한 사용자 친화적인 데스크톱 앱이지만, 클라우드 모델 허브보다는 클라이언트 측 실행에 중점을 둡니다. | [.md](https://openaitools.app/ko/tool/jan.md) |

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출처: https://openaitools.app/ko/compare/modelscope-community-vs-tinybird

More Markdown: [카테고리](https://openaitools.app/ko/categories.md) · [트래픽 순위](https://openaitools.app/ko/rankings.md) · [llms.txt](https://openaitools.app/ko/llms.txt)