Solutions · Any Engine
One contract. Every engine.
The same contract runs as native in-process code on Polars or DuckDB, or on any Spark runtime, without rewriting your transformations. Start on your laptop, scale to the cluster, switch engines without rewriting trust.
One contracttrips_silver.yaml, unchanged
PolarsIn-processno JVM, prototype on a laptop
DuckDBIn-process
Apache SparkAny runtimeDatabricks · Fabric · EMR · Glue · Synapse · Dataproc
Snowflake · BigQuery · RedshiftVia load layerread in, transform, write results back
Same YAML, same verdictsone type registry across engines: a decimal is a decimal everywhere
Write once, run anywhere · audit or fork the engineApache 2.0
What you get
6 capabilities
Native engines, zero JVM
run in-process on Polars or DuckDB today
Any Spark runtime
Databricks, Fabric, AWS EMR, Glue, Azure Synapse, GCP Dataproc
Warehouses too
read/write Snowflake, BigQuery, and Redshift via the load layer
Write once, run anywhere
the same YAML executes across engines, no rewrite
Apache 2.0 open source
audit, fork, and self-host the engine, no lock-in
Laptop to cluster
prototype on DuckDB, ship to Spark, same contract
Define trust once. Run it anywhere.
See how one LakeLogic contract enforces the same standards across every engine you run.