Design modern data lakehouse architectures with Delta Lake, Iceberg, or Hudi for unified batch and streaming analytics
No sign-up required • Free to try
Design data warehouse architectures with dimensional modeling, ETL processes, and BI reporting layers
Describe your ETL architecture and watch AI create a professional data pipeline diagram with proper connections and data flows
Describe your lakehouse and the AI draws workspaces, Unity Catalog, Delta tables, jobs, and the BI and ML consumers around them
Common questions about ai data lakehouse architecture generator
A data lakehouse combines the flexibility of data lakes with the performance and ACID transactions of data warehouses. It uses open table formats like Delta Lake, Apache Iceberg, or Apache Hudi to enable SQL analytics directly on cloud storage.
Visualize the three zones: Bronze (raw ingestion), Silver (cleaned/validated data), and Gold (business-level aggregates). Show data flowing through each zone with quality improvements at each stage.
We support Databricks, AWS Lake Formation, Azure Synapse, Google BigLake, and open-source stacks with Apache Spark, Trino/Presto, and table formats like Delta Lake, Apache Iceberg, and Apache Hudi.
Yes! Lakehouse architectures excel at unified batch and streaming. Show Kafka/Kinesis streams alongside batch ingestion, both writing to Delta/Iceberg tables for real-time and historical analytics.
Include Unity Catalog, AWS Glue Catalog, or Apache Polaris for metadata management. Show access controls, data lineage, schema evolution, and audit logging across your lakehouse layers.
Signing up starts a 7-day free trial of every Pro feature. No card needed.