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Tinybird logo

Tinybird

A real-time data platform for developers to build and power data products, APIs, and analytics with blazing-fast query performance.

Price: Freemium

Categories:AI Data Analysis ToolsAI Data Mining ToolsAI Data Visualization ToolsAI Developer ToolsAI Monitoring Tools
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Description
Tinybird is a developer-first platform designed for building real-time data products and operational analytics. It allows users to ingest massive volumes of data, transform it using SQL, and then publish the results as low-latency APIs. The platform is built on top of ClickHouse, providing exceptional query performance even on petabytes of data. Tinybird targets data engineers, backend developers, and product teams who need to create interactive dashboards, power customer-facing features, or build real-time monitoring systems. It distinguishes itself by offering a SQL-native, API-first approach to real-time data, enabling developers to quickly turn raw data into actionable insights and embed them directly into applications without managing complex infrastructure.

Tinybird screenshot 1
How to Use
1.Sign up for Tinybird and connect your data sources (e.g., Kafka, S3, PostgreSQL).
2.Ingest your data into Tinybird using supported connectors or API.
3.Use SQL to transform and analyze your data within Tinybird's workspace.
4.Create "Data Products" by publishing your SQL queries as low-latency HTTP APIs.
5.Integrate these APIs into your applications, dashboards, or other services.
6.Monitor API usage and performance through the Tinybird dashboard.
Use Cases
Real-time data APIsOperational analyticsCustomer-facing dashboardsReal-time monitoringData product developmentLarge-scale data ingestion
Pros & Cons

Pros

  • Enables building real-time data products and APIs with SQL.
  • Provides extremely fast query performance on large datasets.
  • Developer-friendly with an API-first approach and SQL-native tools.
  • Simplifies data ingestion and transformation for real-time analytics.
  • Offers a generous free developer plan.

Cons

  • Requires comfort with SQL and data engineering concepts.
  • Can become costly at very high data volumes and query loads on paid plans.
  • Not a general-purpose database; optimized for analytical queries.
Pricing

To check the pricing of Tinybird click here

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