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Tinybird

Managed ClickHouse platform empowering AI-native developers to create real-time analytics APIs with ease.

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About Tinybird

Tinybird is a comprehensive platform designed for AI-native developers to build and deploy real-time analytics APIs using ClickHouse®. It simplifies managing and querying billions of data points, eliminating backend boilerplate and accelerating development. The platform features a hosted OLAP database, scalable secure REST APIs, an Events API for JSON streaming, and a suite of developer tools including a CLI, local environment, and integrations with various data sources and development workflows.

How to Use

Start by installing Tinybird with a simple curl command (`curl https://tinybird.co | sh`). Use the `tb` CLI to define your analytics backend, such as 'Build a real-time fleet tracking API'. Tinybird guides you through creating data sources and endpoints. Develop locally using the Tinybird container, then deploy your projects to the cloud with a single command or through CI/CD pipelines for seamless automation.

Features

AI-assisted IDE integration with Tinybird Code

Secure authentication with RBAC, including tokens and scoped JWTs

High-throughput streaming ingestion via HTTP or Kafka

Scalable, secure REST APIs for every query

Command-line interface for creating, testing, and deploying projects

Git-based CI/CD workflows for automation

Supports native S3 object storage sources and sinks

Instant deployment with easy rollback options

Managed ClickHouse® database optimized for AI-native workflows

Hosted OLAP database delivering sub-second query latency

Tinybird Local for on-premise development and deployment

Data as code: Define schemas and build pipelines programmatically

Certified SOC2 Type II and HIPAA compliant for enterprise security

Events API capable of streaming JSON at over 1,000 RPS

Use Cases

IoT device data and telemetry

Anomaly detection in data streams

User-facing dashboards and analytics

Cryptocurrency and financial data analysis

Monitoring and observability

Real-time personalization features

Web analytics and user behavior tracking

Gaming data analytics

User-generated content (UGC) analytics

Vector search applications

Real-time change data capture (CDC)

Content recommendation engines

Best For

Data Platform EngineersChief Technology OfficersAI-Native DevelopersSolopreneursSoftware Development TeamsBackend EngineersData DirectorsStartup Founders

Pros

Handles high-speed data ingestion exceeding 1,000 RPS via HTTP.

Accelerates development and deployment of real-time analytics APIs.

Reduces engineering effort and infrastructure costs significantly.

Provides a managed ClickHouse environment, removing management overhead.

Ensures security with features like RBAC, SOC2, and HIPAA compliance.

Offers a free tier for initial testing and experimentation.

Supports data as code, CI/CD automation, and comprehensive testing.

Enables instant deployments with easy rollback options.

Includes robust developer tools such as CLI, local setup, and AI assistance.

Built on scalable, secure infrastructure capable of handling billions of data points.

Cons

No significant disadvantages are specified in the available information.

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

Free

$0/month

Perfect for testing your use case. Free forever with no time limit or credit card needed. Includes 0.5 vCPU, up to 10 QPS, 1 thread per request, 0.5GB memory per request, 1,000 queries daily, 10GB storage, and Slack support.

Get Started

Developer

$25/month

Ideal for deploying and scaling in production. Includes 0.25 vCPU (150 vCPU hours included, overage at $0.162/vCPU hour), 10 QPS (additional requests at $0.0005/request), 1 thread per request, 0.5GB memory per request, autoscaling to 0.5 vCPU, 25GB storage (additional $0.058/GB), and intra/inter-cloud data transfer costs. Support via Slack included.

Get Started

Enterprise

Custom

Designed for large-scale, mission-critical deployments. Offers dedicated infrastructure, starting at 8 vCPUs, 8 threads per request, 1TB storage, 80+ QPS, and includes dedicated support, AWS Private Link, performance SLAs, and SSO options.

Get Started

Frequently Asked Questions

Find answers to common questions about Tinybird

What is Tinybird Code?

Tinybird Code is an AI-powered CLI tool that acts as an expert for your ClickHouse projects, helping you build analytics solutions efficiently.

What types of data can I stream into Tinybird?

You can stream JSON data at over 1,000 RPS using the Events API, or utilize native Kafka connectors for high-volume data ingestion.

Is Tinybird suitable for production use?

Yes, Tinybird is enterprise-ready with hosted APIs, advanced security features, and compliance certifications like SOC2 and HIPAA.

How does Tinybird handle data storage and querying?

Tinybird offers a hosted OLAP database built on ClickHouse, enabling fast queries over billions of records without self-management.

What are the available pricing plans?

Tinybird provides a free plan for testing, a standard developer plan starting at $25/month for production, and customizable enterprise options.