Tinybird

Tinybird provides managed ClickHouse with a hosted API layer, hosted ingestion, and developer tooling so software teams can build real-time analytics and data products without owning the underlying infrastructure. The page describes ingesting data via HTTP and connectors (Kafka, S3, GCS), querying with sub-second SQL APIs, zero-copy branches with production data, safe schema migrations, and workspace monitoring. It also offers a coding agent skill, TypeScript and Python SDKs, and a CLI for building with AI coding agents. Enterprise options mentioned include dedicated infrastructure, SSO/SAML, role-based access control, SOC 2 Type II, HIPAA, and GDPR compliance claims, dedicated clusters with SLAs, and compute-compute separation. The page cites customer testimonials and use cases such as user-facing dashboards, real-time CDC, gaming analytics, web analytics, and vector search.

Key features

• Managed ClickHouse database
• Data ingestion via HTTP and Kafka, S3, and GCS connectors
• Sub-second SQL APIs for querying data
• Hosted API layer
• Automatic schema migrations and safe schema iteration with zero downtime
• Zero-copy branches with production data
• Workspace for monitoring and operating data infrastructure
• Git integration
• Managed upgrades
• Coding agent skill, TypeScript SDK, Python SDK, and Tinybird CLI
• SSO/SAML authentication and role-based access control (Enterprise)
• Dedicated clusters and SLAs (Enterprise)
• Compute-compute separation (Enterprise)
• Bottomless storage with zero-copy replication (Enterprise)
• SOC 2 Type II, HIPAA, and GDPR compliance claims

Best suited for

• Software teams building user-facing analytics dashboards
• Teams needing real-time analytics over streaming or Kafka data
• Developers and AI coding agents building analytics APIs
• Enterprises requiring dedicated infrastructure and compliance controls
• Teams wanting ClickHouse performance without managing clusters

Pricing

Not stated on the website