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Introduction

Airtruct is a modern, open-source data pipeline tool designed to be a powerful and efficient alternative to tools like Airbyte and Fivetran. It empowers data analysts and scientists to easily build and manage data streams with a user-friendly, DAG-style UI.

Key Features​

  • Visual DAG-style Stream Builder — Intuitive UI to visually create and manage data pipelines using a Directed Acyclic Graph interface.
  • Powerful In-Pipeline Transformations — Bloblang DSL for efficient data transformation and enrichment within the pipeline, replacing the need for separate tools like dbt.
  • Flexible Subprocess Processor — Integrate processors written in any programming language. Communication via stdin/stdout ensures language-agnostic compatibility.
  • Native HTTP Input — Accept data over HTTP, ideal for webhooks and streaming data sources.
  • Horizontally Scalable Worker Pool — Scale your data processing with a horizontally scalable worker pool architecture.
  • Delivery Guarantees — Reliable data delivery with buffering, caching, and robust error handling.

Why Airtruct?​

  • Completely free — Apache 2.0 license with no usage limits or paid tiers.
  • Zero operational overhead — Runs as a single lightweight binary with no Docker, JVM, or external dependencies required.
  • Native transformations — The built-in Bloblang DSL handles mapping, filtering, and conditional logic, eliminating the need for separate tools like dbt.
  • Language-agnostic processors — Write custom processors in any language through simple stdin/stdout communication.
  • Built-in observability — Metrics, tracing, and logs out of the box.
  • High performance — Written in Go with low memory and CPU footprint. Supports both real-time and batch workloads with fine-grained parallel execution control.

Who is Airtruct for?​

  • Data Engineers who want a lightweight, self-hosted ETL tool without Docker overhead.
  • Backend Developers who need to move data between systems with transformations.
  • Small Teams that want powerful data pipelines without enterprise complexity or cost.

Next Steps​