Tinybird

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Tinybird is an infrastructure and tooling platform designed for AI-Native Developers to build and ship real-time analytics APIs on ClickHouse®. It enables users to manage and query billions of rows of data with ease, skipping backend boilerplate and accelerating software development. The platform offers a hosted OLAP database, scalable and secure REST APIs for queries, an Events API for high-volume JSON streaming, and a comprehensive suite of developer tools including a CLI, local development environment, and integrations with various data sources and dev tools.
Managed ClickHouse for AI-native developers to build real-time analytics APIs.
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www.tinybird.co/
Tinybird website screenshot
What is Tinybird?

Managed ClickHouse for AI-native developers to build real-time analytics APIs.

Tinybird is an infrastructure and tooling platform designed for AI-Native Developers to build and ship real-time analytics APIs on ClickHouse®. It enables users to manage and query billions of rows of data with ease, skipping backend boilerplate and accelerating software development. The platform offers a hosted OLAP database, scalable and secure REST APIs for queries, an Events API for high-volume JSON streaming, and a comprehensive suite of developer tools including a CLI, local development environment, and integrations with various data sources and dev tools.

Core Features
Managed ClickHouse® for AI-Native Developers
Hosted OLAP Database for sub-second latency queries
APIs: Every query is a scalable and secure REST API
Events API: Stream JSON at 1k+ RPS with an HTTP request
Tinybird Local: Run Tinybird on your machine or own infra
CLI: Create, build, test, and deploy from your terminal
Data as code: Define table schemas and build data pipelines with code
Instant deployments and rollbacks
Git-based CI/CD workflow
AI-powered IDE integration (Tinybird Code)
Streaming ingestion via HTTPs or Kafka
Object storage sources and sinks (native S3 connector)
Popular Use Cases
  • IoT & Telemetry
  • Observability
  • Anomaly Detection
  • Crypto & Finance
  • User-Facing Analytics
  • User-facing dashboards
  • Real-time Change Data Capture (CDC)
  • Gaming analytics
  • Web analytics
  • Real-time personalization
  • User-generated content (UGC) analytics
  • Content recommendation systems
Feature Comparison
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Comparison details are provided for informational purposes and should be verified with the official website.
How to use
  • Users can get started by installing Tinybird via a simple curl command (`curl https://tinybird.co | sh`). Once installed
  • the `tb` CLI allows users to describe their desired analytics backend (e.g.
  • "Build a real-time fleet tracking backend")
  • and Tinybird will assist in creating the necessary data sources and endpoints. Development can be done locally using the Tinybird local container
  • and projects can be deployed to Tinybird's cloud with a single command or through CI/CD workflows.
Pricing
Tinybird uses a freemium pricing model. Pricing and features may change over time.
Free
$0/month
Test your use case. Free forever, no time limit, no credit card required. Includes 0.5 vCPU, 10 QPS max, 1 thread/request max, 0.5GB memory per request, 1,000 queries per day, 10GB Storage, and Slack Community support.
Developer
$25/month
Deploy and scale in production. Includes 0.25 vCPU (150 vCPU hours included, $0.162/vCPU hour overage), 10 QPS included ($0.0005/request on QPS overages), 1 thread/request max, 0.5 GB memory per request, autoscaled to 0.5 vCPU on demand. Includes 25 GB storage ($0.058/GB additional), $0.01/GB intra-cloud data transfer, $0.1/GB inter-cloud data transfer, and Slack Community support.
Enterprise
Custom
Guaranteed performance at scale. Includes dedicated infra available, credit-based pricing, starting at 8 vCPUs, starting at 8 threads/request, starting at 1TB storage, starting at 80 queries per second, dedicated support engineer, AWS Private Link, Performance SLAs, Support SLAs, and SSO.
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