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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

From any source
to any sink

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

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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.

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Keep your
Lakehouse from
becoming a
Dataswamp

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

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Run Task
Dependency Graphs
on your Orchestrator

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

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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

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Security matters

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

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Data Observability
through Metrics
and Auditing

Keep an eye on your workloads and data quality with starlake built-in metrics and auditing capabilities.

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Best in-class
VS Code extension

Auto-complete, syntax highlighting, linting, lineage and more. All the features you expect from a modern SQL IDE.
Work securely without the need to share your credentials with any remote party.

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