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
From any source
to any sink
Extract, Load and Transform your data with advanced validation, anonymization and transformation capabilities.
DiscoverScript 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 moreKeep your
Lakehouse from
becoming a
Dataswamp
Load almost any file with thorough validation and free yourself of any database scripting.
Read moreRun Task
Dependency Graphs
on your Orchestrator
Use out-of-the DAG templates to run you transformations instantly on your favorite orchestration engine.
Read moreBusiness &
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 moreSecurity 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