Visual ETL/ELT pipelines.
Low-code ETL/ELT with visual designer. 200+ connectors, transformations, and scheduling. No Spark or Python required.
200+
Connectors
Visual
Design
Built-in
Schedule
Optional
Code
Pipelines, visual.
200+ connectors. Drag-and-drop ETL.
200+ connectors
Pre-built connectors for databases, APIs, and SaaS.
Visual designer
Drag-and-drop pipeline builder.
Data quality
Built-in data quality checks and validation.
ELT support
Push-down transformations to target databases.
Scheduling
Cron, event, and dependency-based scheduling.
Lineage
Automatic data lineage for governance.
Getting started
Launch your first instance in three steps. CLI, console, or API — your choice.
ur data integrate source add \
--type=postgres --host=db.example.com
# Tables discovered: 47Integration patterns.
ETL and database sync.
Suggested configuration
200+ connectors · Visual · Schedule
Estimate your costs
Create detailed configurations to see exactly how much your architecture will cost. Pay for what you use, down to the second.
Configuration 1
ETL Pipeline
Compute Resources
Storage & Output
Cost details
Visual data transformation engine.
Works seamlessly with
Frequently asked questions
Pipelines, visual.
200+ connectors. Drag-and-drop ETL.