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头对头基准测试
Convex vs Scale
Convex 记录了 390,417 月访问量，月度环比增长为 -18.7%，定价为免费增值，付费。Scale 记录了 616,915 月访问量，增长率为 +12.5%，定价为定价请咨询。
Convex 记录了 390,417 月访问量，月度环比增长为 -18.7%，定价为免费增值，付费。Scale 记录了 616,915 月访问量，增长率为 +12.5%，定价为定价请咨询。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
| 维度 / 指标 | ||
|---|---|---|
| 官方域名 | convex.dev | scale.com |
| 定价模式 | 免费增值，付费 | 定价请咨询 |
| 月访问量 | 39.04万 (390,417) | 61.69万 (616,915) |
| 月度环比流量变化 | -8.96万 (-18.7%) | +6.87万 (+12.5%) |
| 主要市场与份额 | 🇺🇸 美国 (15.4%) | 🇺🇸 美国 (44.2%) |
| 直接访问 / 月 | 25.35万 | 19.14万 |
| 用户评分 | 4.6 | 4.7 |
| 支持的平台 | 网站 | 网站 |
响应式 TypeScript 后端，集数据库、函数与 AI 网关于一体
带 ACID 事务的文档数据库，自动向订阅客户端推送实时更新，无需手动失效缓存。
schema、查询、变更、action 与 HTTP 端均用 TypeScript 编写，从客户端到数据库全程类型安全。
如 Agent、Workflow、Workpool、Stripe、Resend、Twilio 等开源模块化积木，可直接嵌入应用。
通过统一 API 与账务路径调用主流大模型，无需分别管理各家密钥。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
专项更强AI-native code editor for multi-file development, requiring manual backend setup compared to Convex's managed platform.
专项更强将提示词转化为应用的无代码 AI 开发平台，但不太适合编写自定义后端 TypeScript 代码。
专项更强Vercel 推出的前端组件生成式 UI 平台，若要实现完整的数据库反应性，需要单独配置后端。
专项更强简化计算机视觉数据集标注与模型训练，但不太适合通用的 LLM 文本任务。
专注于企业级数据标注和训练数据整理，类似于 Scale 的核心标注业务。
专项更强AI integrated development environment that plans and edits code, but does not provide managed backend database infrastructure.
专项更强Agent-native visual development platform focused on front-end code and headless content, lacking reactive backend functions.
专项更强Agent-native visual development platform focused on front-end code and headless content, lacking reactive backend functions.
提供企业级多模态标注和数据管理工具，但对托管式标注人力的强调较少。
专项更强在互联环境中跟踪、评估并交付 AI 模型与智能体。
基于浏览器的全栈开发工作区，搭配谷歌云基础设施，但对响应式 TypeScript 数据库的关注较少。
