Datadog 记录了 5,175,760 月访问量，月度环比增长为 -4.8%，定价为免费增值，免费试用，付费，定价请咨询，免费。Scale 记录了 616,915 月访问量，增长率为 +12.5%，定价为定价请咨询。
面向云规模工程团队的统一可观测性、安全与事件响应平台
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 | datadoghq.com | scale.com |
| 定价模式 | 免费增值，免费试用，付费，定价请咨询，免费 | 定价请咨询 |
| 月访问量 | 517.58万 (5,175,760) | 61.69万 (616,915) |
| 月度环比流量变化 | -26.36万 (-4.8%) | +6.87万 (+12.5%) |
| 主要市场与份额 | 🇺🇸 美国 (41.4%) | 🇺🇸 美国 (44.2%) |
| 直接访问 / 月 | 274.58万 | 19.14万 |
| 用户评分 | 4.7 | 4.7 |
| 支持的平台 | 网站 | 网站 |
面向云规模工程团队的统一可观测性、安全与事件响应平台
agent、云集成与 OpenTelemetry 采集器把指标、分布式追踪、性能剖析与日志汇入同一平台，可在不同信号之间直接跳转，无需切换上下文。
Bits AI、Agent Builder 与 LLM/AI Agent 可观测性能力，帮助团队快速研判告警、解释异常，并监控模型延迟、token 花费与 agent 调用链。
Cloud SIEM、云安全态势管理、漏洞管理、工作负载防护与代码扫描，把威胁信号与已有的遥测数据关联起来。
真实用户监控、会话回放、产品分析、合成与移动端测试，与 CI 可见性、测试优化、功能开关和 DORA 指标并列提供。
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。
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。
专项更强Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
专项更强Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
免费 / 开源提供灵活的开源替代方案，适用于自定义数据标注和人机回环（Human-in-the-loop）标注管道。
专项更强构建、模拟、评估并监控可自我改进的 AI 智能体
专项更强Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
专项更强Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
专项更强AI 工程团队的协作层
专项更强在整个组织内统一 LLM 评估、可观测性与红队测试标准
