Tinybird

What is Tinybird?

Tinybird is a comprehensive data platform providing a managed ClickHouse® database specifically tailored for AI-native developers and software teams. It enables users to build, deploy, and scale real-time analytics APIs over massive datasets without the need for complex backend infrastructure or extensive data engineering. Tinybird abstracts away the complexities of managing a high-performance OLAP database, allowing developers to focus on shipping data-intensive features faster, from user-facing dashboards to AI-powered applications. It offers a "data as code" approach, integrating seamlessly with developer workflows and existing tools.

How to use Tinybird

Users can get started with Tinybird by installing its CLI tool, which allows them to develop locally and then deploy to Tinybird's cloud. The platform supports a "data as code" workflow where table schemas and data pipelines are defined as plaintext files, enabling version control and CI/CD integration. Developers write SQL queries, which can then be instantly published as scalable and secure REST APIs. Data can be streamed into Tinybird via HTTPs, Kafka, or connected from existing object storage like S3. While pricing is mentioned as a link, specific details are not provided in the content, but a "Sign up" option indicates a registration process.

Tinybird's core features

Managed ClickHouse® Database: Store and query billions of events with sub-second latency without management hassle.

Production-ready, Hosted APIs: Publish any SQL query as a secure, performant, and parameterized OpenAPI endpoint.

Streaming Ingestion: Stream thousands (or millions) of events per second via HTTP or native Kafka connector.

Object Storage Sources & Sinks: Connect to existing data using native S3 connector, avoiding external ETLs.

Local & Cloud Runtimes: Develop with Tinybird local container and deploy to Tinybird's cloud with a command.

Data as Code: Define table schemas and build data pipelines with code, commit to Git.

Instant Deployments & Rollbacks: Deploy from CLI with a single command and rollback easily.

Git-based CI/CD Workflow: Use automatically-generated YAML files for build, test, and deploy on commit/merge.

Live Schema Migrations: Add, subtract, or update columns and data types live without data loss.

AI-powered IDE Integration: Work AI-natively with automatically-generated rules files for IDEs.

Use cases of Tinybird

User-facing Dashboards

Real-time Change Data Capture (CDC)

Gaming Analytics

Web Analytics

Real-time Personalization

User-Generated Content (UGC) Analytics

Content Recommendation Systems

Vector Search