TrinityLake

An Open Lakehouse Format for Big Data Analytics, ML & AI

Introduction

TrinityLake is an Open Lakehouse Format for Big Data Analytics, ML & AI. It defines a storage layout on top of objects like Apache Iceberg tables, Substrait views, etc. to form a complete storage-only lakehouse.

It offers the following key features:

• Storage only as a lakehouse solution that works exactly the same way locally, on premise and in the cloud
• Multi-object multi-statement transactions with standard SQL BEGIN and COMMIT semantics
• Consistent time travel and snapshot export across all objects in the lakehouse
• Distributed transactions for complicated write-audit-publish workflows to execute a transaction across multiple engines

For more details, please visit trinitylake.io.