Tinybird

Overview

Tinybird is a developer-first data platform designed for building real-time data products. It specializes in ingesting large volumes of data rapidly, processing it efficiently using SQL, and publishing the results as low-latency, scalable APIs.

The platform empowers developers to build analytics dashboards, power internal tools, feed machine learning models, and create personalized user experiences directly from fresh data. Its core strengths lie in its speed for both data ingestion and query execution, its focus on standard SQL for data manipulation, and its ability to create production-ready APIs instantly, making it a powerful tool for operational analytics and data-driven applications.

Key Features

• Real-time Data Ingestion: Rapidly ingest data from various sources like Kafka, S3, object storage, data warehouses, and APIs.
• SQL-Based Transformations: Use standard SQL to transform, filter, and aggregate data directly within the platform.
• Instant API Publishing: Publish SQL queries as low-latency, high-concurrency HTTP APIs with a single command.
• High Performance: Built for speed, enabling millisecond query responses even on large datasets.
• Scalability: Elastically scales compute and storage to handle growing data volumes and API traffic.
• Developer Focus: Offers CLI, SDKs, and integrates into developer workflows.
• Materialized Views: Create optimized views for frequently accessed or complex queries.
• Data Governance & Security: Features for managing access, security, and compliance.

Supported Platforms

• Web Browser
• API Access
• CLI Tool
• Python SDK
• Node.js SDK
• Go SDK

Integrations

• Kafka
• Confluent Cloud
• Amazon S3
• Google Cloud Storage (GCS)
• Microsoft Azure Blob Storage
• Snowflake
• Databricks
• BigQuery
• PostgreSQL
• MySQL
• dbt
• Fivetran
• Airbyte
• Segment

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