Tinybird
Officially listedServerless real-time data analytics platform built on ClickHouse, publishing APIs from SQL.
Tinybird
Tinybird is a serverless real-time data analytics platform built for developers, called "the Vercel of data" or "Supabase for ClickHouse." It lets teams ingest massive data streams via simple SQL and publish them in one click as production-grade, high-performance, low-latency REST APIs — all without managing underlying infrastructure. This greatly empowers dev teams that need to build user-facing data products fast.
Core Capabilities
- Instant Data Ingestion: Real-time, high-speed ingestion of massive data streams from Kafka, Amazon S3, HTTP, and other sources.
- Streaming Materialized Views: Chained SQL nodes process and transform data streams quickly, supporting ultra-fast aggregation at query time.
- One-Click API Generation: Turns SQL queries instantly into production-grade REST APIs with authentication, rate limiting, and auto-generated docs.
- Data-as-Code Experience: Deep Git workflow integration and first-class CLI tools let developers manage data pipelines like application code.
- Sub-Second Query Response: Powered underneath by ClickHouse's vectorized execution engine, keeping query latency extremely low even on large datasets.
- LLM Connectivity: A Model Context Protocol (MCP) Server lets AI assistants query real-time streaming data directly.
Use Cases Best for front-end and back-end engineers, data engineers, and agile small-to-mid businesses that need to quickly ship high-frequency log monitoring, usage-based billing, or user-facing real-time analytics dashboards.
Unique Advantages Compared with traditional database cloud services or BI warehouses designed for big screens, Tinybird's API-first philosophy completely eliminates the chore of writing data query middle layers. Its deployment barrier is far lower than native ClickHouse, truly balancing maximum development efficiency with superb data throughput.
Editor's Review Tinybird is a data tool tailor-made for modern agile development. Although its high level of abstraction limits some deep database-level tuning, its zero-ops serverless experience and excellent developer experience prove its value. If you would rather not spend energy maintaining complex infrastructure, Tinybird is absolutely your best choice.
Pricing
### 💰 定价模式：免费增值 **起步价**：免费 #### 主要方案 - **免费版**：$0/月 - 包含0.25 vCPU、10GB存储，最高10 QPS，适合开发测试和小型项目。 - **开发者版**：$49/月起 - 包含0.25至3 vCPU可选，25GB存储，提供$100 LLM额度，最高55 QPS。 - **企业SaaS版**：定制报价 - 高达32 vCPU，500GB存储，提供$200 LLM额度，支持年度承诺折扣。 - **企业版**：定制报价 - 专属独立ClickHouse集群，无限vCPU和底层无限存储，起步80+ QPS。 — Visit website
FAQ
Is Tinybird free?
Tinybird offers a free tier with 0.25 vCPU and 10GB storage, supporting up to 10 QPS — good for development testing and small projects. The paid Developer plan starts at $49/month.
What can Tinybird be used for?
Tinybird is mainly used to process massive data streams in real time with standard SQL and publish them as high-performance REST API endpoints in one click, accelerating app development.
Which users is Tinybird best for?
Best for front-end and back-end engineers and data product teams who need to quickly build user-facing real-time analytics dashboards, high-frequency log monitoring, or usage-based billing systems.
How does Tinybird differ from using ClickHouse Cloud directly?
ClickHouse Cloud requires building your own API layer, while Tinybird packages one-click API generation and data ingestion pipelines, offering an out-of-the-box serverless experience.
Is Tinybird hard for beginners?
Although built on SQL, Tinybird's unique chained node concept and some ClickHouse-specific syntax present a certain learning curve for beginners.
Which modern development frameworks does Tinybird integrate with?
It connects seamlessly with modern front-end ecosystems like Next.js and Vercel, supports multi-language SDKs, and offers solid Git version control and CI/CD automated deployment support.