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。Tinybird 记录了 85,443 月访问量,增长率为 -24.7%,定价为免费增值。
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.
| 维度 / 指标 | ||
|---|---|---|
| 官方域名 | convex.dev | tinybird.co |
| 定价模式 | 免费增值,付费 | 免费增值 |
| 月访问量 | 39.04万 (390,417) | 8.54万 (85,443) |
| 月度环比流量变化 | -8.96万 (-18.7%) | -2.8万 (-24.7%) |
| 主要市场与份额 | 🇺🇸 美国 (15.4%) | 🇪🇸 西班牙 (15%) |
| 直接访问 / 月 | 25.35万 | 2.26万 |
| 用户评分 | 4.6 | 4.6 |
| 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。
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.
Write SQL and publish it as low-latency HTTP endpoints, backed by columnar storage and serverless scaling, without managing clusters, sharding or Zookeeper.
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.
Create zero-copy, full-stack environments with production data for testing, and roll out schema changes as safe migrations without taking the system offline.
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.

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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。
前沿 AI 训练所用的环境,以及负责重复性工作的智能体
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.

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。

免费 / 开源Local open-source desktop app for full-stack web apps, but relies on local models rather than managed cloud infrastructure.

专项更强AI software engineering platform connecting codebases and databases, but lacking a native reactive serverless database runtime.

免费 / 开源面向 AI 智能体与分析的开源数据集成平台