Tinybird is a real-time analytics platform built on ClickHouse that lets developers ingest, transform, and publish data as low-latency API endpoints using pure SQL. It handles streaming and batch ingestion from sources like Kafka, S3, and webhooks, enabling sub-second queries over billions of rows without managing infrastructure. Tinybird differentiates from alternatives like Rockset or Materialize by offering a fully managed, serverless experience with built-in API generation, AI-assisted query building, Git-based version control for data pipelines, and usage-based pricing that scales from prototypes to production workloads.
Tinybird is a managed ClickHouse platform that combines enterprise-grade analytical database performance with a developer experience comparable to modern deployment platforms like Vercel. It serves over 1 billion requests per month, processing more than 91 petabytes of data monthly with a p95 query latency of 372 milliseconds. The platform lets developers ingest streaming and batch data from sources including Kafka, Confluent Cloud, Redpanda, Amazon S3, Google Cloud Storage, DynamoDB, Snowflake, BigQuery, and PostgreSQL, then transform and publish that data as low-latency REST API endpoints using pure SQL — all without provisioning or managing any infrastructure.
Tinybird is built for software engineering teams that need to ship real-time analytical features such as user-facing dashboards, observability systems, AI analytics, and financial or gaming analytics. Rather than requiring teams to self-host ClickHouse clusters with Zookeeper, manage sharding, build custom API layers, and handle ETL pipelines, Tinybird bundles all of this into a serverless platform with hosted ingestion, a hosted API layer, an MCP server for AI agents, automatic schema migrations, and Git integration for version-controlled deployments.
The platform is enterprise-ready with SOC 2 Type II, HIPAA, and GDPR compliance, SSO/SAML authentication, role-based access control, dedicated clusters with SLAs, compute-compute separation for independent scaling, and bottomless storage with zero-copy replication. Tinybird also provides first-class support for AI coding agents through dedicated agent skills, TypeScript and Python SDKs, and a CLI, enabling developers to build and deploy analytics workflows directly from their AI-assisted development environments.
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Tinybird provides fully managed ClickHouse infrastructure that eliminates the need to configure Zookeeper, manage cluster sharding, or handle database upgrades. The platform includes compute-compute separation so query workloads can scale independently from ingestion, bottomless storage with zero-copy replication, and automatic failovers for high availability. This delivers ClickHouse-level query performance while maintaining a Vercel-like developer experience.
Tinybird supports real-time data ingestion from Apache Kafka, Confluent Cloud, Redpanda, and direct HTTP event streams at up to 1000 requests per second. It also handles batch ingestion from Amazon S3, Google Cloud Storage, DynamoDB, BigQuery, Snowflake, and PostgreSQL. This allows teams to consolidate streaming and batch data pipelines into a single platform without managing separate ingestion infrastructure.
Developers can create isolated branch environments that reference production data without duplicating storage, enabling safe testing of schema changes, query modifications, and pipeline updates against real data. Combined with automatic schema migration tooling that performs safe migrations with zero downtime, teams can iterate on data models confidently without risking production stability.
Tinybird provides installable agent skills (via npx) that give AI coding agents the ability to build and deploy analytics workflows. The platform includes a TypeScript SDK, Python SDK, CLI, MCP server, and Git integration, making it natively compatible with AI-assisted development and CI/CD pipelines. This enables developers to programmatically create data sources, define transformations, and publish API endpoints entirely through code.
Tinybird is certified SOC 2 Type II and compliant with HIPAA and GDPR requirements. Enterprise customers get SSO/SAML authentication, role-based access control, dedicated clusters with guaranteed SLAs, and direct access to dedicated engineering support. This combination of compliance certifications and enterprise infrastructure features makes Tinybird suitable for regulated industries and large-scale production deployments.
$0
Usage-based (~$0.07 per million rows processed)
Custom (contact sales)
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Tinybird has introduced AI-focused developer experience features including an MCP server for AI agents, installable agent skills (via npx skills add tinybirdco/tinybird-agent-skills) that enable coding agents to build and deploy analytics, and BI & tool connections for integrating with external BI tools and ORMs. The platform has also added zero-copy branching for isolated development environments with production data, compute-compute separation for independent workload scaling, and HIPAA compliance alongside existing SOC 2 Type II and GDPR certifications.
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