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Tinybird

Transforms raw data into real-time, scalable analytics APIs.

Data AnalysisFreemium Free Tier

Screenshots

Tinybird screenshot 1

About Tinybird

Tinybird is a powerful analytics backend designed to revolutionize how developers build scalable, real-time analytics APIs. By leveraging the speed and efficiency of the ClickHouse database, Tinybird allows users to create and deploy APIs in minutes, streamlining the process of transforming raw data into actionable insights. It caters to developers and data engineers who seek to simplify data infrastructure, enabling them to focus on building applications without the hassle of complex data management. Key features include real-time analytics with sub-second latency, a hosted ClickHouse database, high-speed streaming ingestion, secure OpenAPI endpoints, data as code for version control, and AI-powered IDE integration. Tinybird is ideal for SaaS companies, e-commerce platforms, financial services, and the gaming industry, providing them with the tools to enhance decision-making and optimize performance.

Key Features

  • Real-Time Analytics: Query billions of events with sub-second latency.
  • Hosted ClickHouse Database: Production-ready, eliminating infrastructure management.
  • Streaming Ingestion: High-speed data ingestion via HTTP or Kafka connectors.
  • Secure and Performant APIs: Publish queries as secure OpenAPI endpoints.
  • Data as Code: Define table schemas and build data pipelines using code.
  • AI-Powered IDE Integration: Enhance development efficiency with AI assistance.

Use Cases

Real-time analytics Data-driven decision-making Fraud detection Customer segmentation Player behavior analysis

Target Audience

developers data engineers SaaS companies e-commerce platforms financial services gaming industry

Supported Languages

en

Platform Availability

API Access

Pricing

Free tier available with limited features; paid plans start at $25 per month.

Free tier available

Technical Information

License: Proprietary

Resources and Community

Growing community of developers and data engineers.

Tags

real-time analyticsdata processingAPI developmentClickHousedata infrastructure

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