Skip to main content

Declarative Data Pipelines
One YAML Rules Them All

Effortless Extract / Load / Transform / Orchestrate

Just YAML and regular SQL

Run on your favorite orchestrator against your favorite warehouse
BigQuery / Databricks / Redshift / Snowflake and many more.

Full & Incremental

Full & Incremental Parallel data extraction
Full & Incremental Load with advanced validation
Full & Incremental Transform with lineage handling

Observability & Security

Validate input files, Test business logic
Secure tables, rows and columns
Generate documentation & metrics

Effortlessly test
your data pipelines

How about executing all your SQL queries on DuckDB using your native Data Warehouse SQL dialect ?
This is a must have for testing your queries locally or migrate your existing ones

Discover
BigQuery
Databricks
Redshift
Snowflake

From any source
to any sink

Extract, Load and Transform your data with advanced validation, anonymization and transformation capabilities.

Discover

Script Free
Database
Replication

Automated full and incremental replication of your data from any relational database to your favorite datawarehouse without writing a single line of code.

Read more

Keep your
Lakehouse from
becoming a
Dataswamp

Load almost any file with thorough validation and free yourself of any database scripting.

Read more

Run Task
Dependency Graphs
on your Orchestrator

Use out-of-the DAG templates to run you transformations instantly on your favorite orchestration engine.

Read more

Business &
Developer Friendly

Using an Excel like interface, your business users are able to browse, update and validate [extract], [load] or [transform] metadata such as primary/ foreign keys, table/column descriptions and access rules

Read more

Security matters

Apply security at build time before any unauthorized access to your data. Visualize your access policies before applying them to your data.

Read more