Tinybird

Tinybird is a managed real-time data platform built on ClickHouse that enables developers and data teams to ingest, transform, and publish low-latency analytical queries as SQL APIs. The platform eliminates infrastructure management by handling cluster operations, API generation, and serverless scaling automatically.

The platform is designed for software engineers, data platform teams, and AI coding agents building real-time data products, analytics features, and user-facing dashboards. It combines columnar data storage with modern developer workflows, including local development environments, version-controlled cloud branches, and automated CI/CD deployments.

Tinybird supports high-throughput streaming and batch data ingestion via HTTP endpoints and native connectors for messaging queues and object storage. It also provides developer tooling for AI agents, including specialized agent skills and a hosted MCP server for AI-native data access.

Key features

• Managed ClickHouse engine: Delivers low-latency query performance over large datasets without manual database setup or cluster maintenance.
• HTTP Events API and connectors: Ingests high-frequency event streams directly over HTTP alongside integrations for Apache Kafka, Amazon S3, and Google Cloud Storage.
• Automated API endpoints: Converts SQL query logic directly into secure, authenticated REST API endpoints for downstream applications.
• Branching and CI/CD workflows: Enables isolated environment branching with production data previews alongside automated schema migrations.
• AI agent tooling: Provides agent skills and a hosted Model Context Protocol server for direct workspace querying and project creation.
• Enterprise security and compliance: Supports SOC 2 Type II compliance, HIPAA readiness, SAML single sign-on, and role-based access control.