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Tinybird
Build Real-Time Analytics APIs Fast and at Scale

What is Tinybird?

Tinybird offers a high-performance analytics backend designed for applications and AI agents needing real-time, scalable data capabilities. It provides a hosted OLAP database built on ClickHouse technology and allows developers to publish any query as a secure, performant REST API with minimal overhead.

The platform supports fast event ingestion, seamless integrations with major data sources, local project validation, robust security controls, and AI-powered IDE integration. Tinybird streamlines development by turning data pipelines into code, allowing instant deployments with rollback capabilities, and supporting scalable object storage—all while ensuring enterprise-grade compliance and observability for modern data applications.

Features

  • Hosted OLAP Database: Store and query billions of events with sub-second latency.
  • API Publishing: Turn any query into a scalable, secure REST API.
  • Streaming Ingestion: Stream data via HTTP or Kafka at high throughput.
  • Object Storage Integration: Native connectors for S3 and other storage systems.
  • Job Scheduling: Serverless asynchronous job queues for automated workflows.
  • Local and Cloud Runtimes: Develop locally and deploy seamlessly to the cloud.
  • Authentication and RBAC: Secure resources with tokens, JWTs, and row-level security.
  • Instant Deployments & Rollbacks: One-command deployments with quick rollback support.
  • AI-Powered IDE: Integrate AI to generate rules and enhance development workflows.
  • Built-in Observability: Monitor resources with comprehensive UI and logs.

Use Cases

  • Building user-facing analytics dashboards requiring real-time data.
  • Powering application insights pages and time series dashboards.
  • Enabling customer segmentation and personalized recommendation engines.
  • Handling large-scale web analytics and gaming analytics.
  • Supporting real-time change data capture (CDC) from various sources.
  • Delivering log analytics and observability in cloud-native environments.
  • Implementing vector search and scalable content recommendation systems.

FAQs

  • What is included in the Tinybird free tier?
    The free tier allows you to test your use case with up to 0.5 vCPU, 10 QPS max, 10GB storage, and 1,000 queries per day per organization, with no time limit or credit card required.
  • What kind of data sources and integrations does Tinybird support?
    Tinybird supports integration with sources such as Apache Kafka, Google BigQuery, Snowflake, Amazon DynamoDB, Amazon S3, and more via native connectors.
  • How does Tinybird ensure security and compliance?
    Tinybird offers enterprise-grade security with authentication tokens, scoped JWTs, role-based access control, SOC2 Type II certification, and HIPAA compliance.
  • Can Tinybird be run on-premise or locally?
    Yes, Tinybird provides a local development container so you can run the platform on your local machine or own infrastructure before deploying to the cloud.
  • Does Tinybird offer instant deployment and rollback capabilities?
    Yes, Tinybird supports one-command deployments and rollbacks via its CLI, enabling rapid application iteration and recovery.

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