免费 / 开源全球宏观数据与 AI 研究平台,助力更明智的经济决策
Outerbase 记录了 9,191 月访问量,月度环比增长为 +13%,定价为定价请咨询。Rose AI 记录了 8,608 月访问量,增长率为 -20.5%,定价为定价请咨询。

Outerbase is an AI-native workspace for exploring, querying and visualizing data across SQL and NoSQL databases. It pairs an ask-in-plain-English assistant with a spreadsheet-style table editor, dashboards and a shared data catalog, so engineers and analysts can work on the same data without fighting tooling. As of 2025 the team has joined Cloudflare.

Rose AI is a cloud data platform built for finance teams that unifies data discovery, visualization, and analysis in one workspace. It ships with an agentic engine, 50+ million time series from 30+ vendors, and natural-language query tools so analysts can move from a question to a traceable, explainable insight without stitching together separate tools.
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | outerbase.com | rose.ai |
| 定价模式 | 定价请咨询 | 定价请咨询 |
| 月访问量 | 9191 (9,191) | 8608 (8,608) |
| 月度环比流量变化 | +1059 (+13%) | -2222 (-20.5%) |
| 主要市场与份额 | 🇺🇸 美国 (35.1%) | 🇺🇸 美国 (44.8%) |
| 直接访问 / 月 | 3642 | 3417 |
| 用户评分 | 4.3 | 4.2 |
| 支持的平台 | 网站 | 网站 |

Outerbase is an AI-native workspace for exploring, querying and visualizing data across SQL and NoSQL databases. It pairs an ask-in-plain-English assistant with a spreadsheet-style table editor, dashboards and a shared data catalog, so engineers and analysts can work on the same data without fighting tooling. As of 2025 the team has joined Cloudflare.
Type a question in plain English and get an instant answer drawn from your connected data, without writing SQL by hand.
The AI editor reviews your SQL, corrects mistakes and suggests improvements, then turns result sets into presentation-ready charts automatically.
A snappy grid built from scratch for fast navigation of large tables, with customizable table plugins and edit-in-place controls.
Compose analytics boards manually or hand them to the AI, then embed charts anywhere using open-source web components.

Rose AI is a cloud data platform built for finance teams that unifies data discovery, visualization, and analysis in one workspace. It ships with an agentic engine, 50+ million time series from 30+ vendors, and natural-language query tools so analysts can move from a question to a traceable, explainable insight without stitching together separate tools.
Seamless real-time integration across Bloomberg, Refinitiv, and alternative data sources, plus the ability to plug in your own public and private datasets.
Self-learning agents that discover, clean, and structure data based on your specific requirements, reducing manual preparation work.
Ask complex questions in plain English and get precise, relevant results powered by proprietary language models and a financial knowledge bank.
Every data point, visualization, and answer is traceable, so you can always explain the 'why' behind an insight and preserve data integrity.
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