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Tinybird Code

Tinybird Code

The AI ClickHouse® expert you don't have to hire

Website tinybird.co
Overview

What it is

Tinybird is infra to ship software with billions of rows, tooling to make it feel easy. Create your first real-time analytics API in minutes.

Intent

I need it when

Ship analytics features faster with AI-native developer tooling

Tinybird includes TypeScript SDK, Python SDK, CLI, and MCP server support for AI agents. Schema iteration with zero-downtime migrations, data branches for safe testing, and Git integration enable rapid iteration and deployment of data products.

Build and deploy real-time analytics APIs without managing infrastructure

Tinybird provides managed ClickHouse with automatic API generation from SQL queries, eliminating the need to build ingestion layers, API servers, and cluster management. Users write SQL, hit a button, and get production-ready REST endpoints with sub-second latency.

Ingest streaming data from multiple sources and query it in real-time

Tinybird offers native connectors for Kafka, S3, GCS, and HTTP Events API, plus support for table functions (MySQL, Postgres, Iceberg, URL). Data ingestion is managed end-to-end, allowing users to query fresh data with sub-second latency without building ETL infrastructure.

Monitor and optimize data pipeline performance and costs

Tinybird's Service Data Sources (pipe_stats, datasources_ops_log, jobs_log) provide real-time observability into query performance, ingestion rates, and resource consumption. Built-in monitoring helps users track costs and identify optimization opportunities without external tools.

Scale analytics to enterprise production with compliance and high availability

Enterprise plan provides dedicated infrastructure, SOC 2 Type II and HIPAA compliance, SSO/SAML, guaranteed SLAs, and dedicated support. Automatic failovers, horizontal/vertical scaling, and private regions ensure fault-tolerance and meet regulatory requirements.

Drop

Not a fit when

  • User needs a traditional data warehouse without managed infrastructure—Tinybird requires cloud deployment and does not support on-premise installations
  • User requires sub-second query latency is not critical—Tinybird's value proposition centers on sub-second SQL APIs, making it overkill for batch processing workloads
  • User operates in a highly regulated environment requiring self-managed infrastructure—Tinybird's shared infrastructure model (Developer/SaaS plans) may not meet strict data residency or isolation requirements
  • User has minimal data ingestion needs and low query volume—Free plan limits to 1k requests/day and 10GB storage, making it unsuitable for production analytics at scale
  • User prefers SQL-only workflows without API generation—Tinybird's core strength is turning SQL queries into REST APIs; users wanting only database access should use ClickHouse directly
Commercials

Pricing

USD49 / monthly View pricing