Data Transformation Framework

Declarative Pipelines. Multi-Engine Execution.

Write Once, Run Anywhere.

Simplify data engineering. Define robust, platform-agnostic transformation pipelines in TOML, complete with built-in data quality and schema evolution.

11 Flow Types
Multi-Engine
100% Declarative
How It Works

Build flows in minutes, not months

A declarative approach to modern data engineering

1

1. Define

Write simple TOML configurations

2

2. Validate

Built-in data quality checks

3

3. Execute

Run on Pandas, PySpark, or SQL

Platform Capabilities

Explore the Qarion ETL features that power modern data platforms.

Declarative TOML

No complex coding required. Define your data pipelines using readable, version-controlled TOML files.

Engine Agnostic

Transformations are decoupled from execution. Run the same flow on SQL, Pandas, or PySpark.

Built-In Quality

First-class data contracts and quality checks integrated directly into your pipelines.

Code Generation

Export your declarative flows into robust SQL, DBT models, or Airflow DAGs automatically.

11 Pre-built Flow Types

From Change Data Capture (CDC) to specialized financial Outbox publishing, Qarion ETL comes out-of-the-box with battle-tested flow architectures.