Tinybird
Managed ClickHouse platform empowering AI-native developers to create real-time analytics APIs with ease.
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
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. All plans include 24/7 support.
Free
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 StartedDeveloper
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 StartedEnterprise
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