Amazon SageMaker Lakehouse vs Onehouse Cloud

Amazon SageMaker Lakehouse has no write-up on Specifiction yet; its figures are above.

Onehouse Cloud is a managed lakehouse platform for analytics and AI that operates in a customer's virtual private cloud. It combines ingestion, compute, table services, query engines, and catalog synchronization for cloud-storage data. OneFlow incrementally writes Apache Hudi, Apache Iceberg, and Delta Lake tables. Quanton runs SQL, Spark jobs, and PySpark notebooks with autoscaling compute. Managed open-engine clusters support Trino, Apache Flink, and Ray. Automated table services are intended to improve query speed, with Onehouse stating results can be up to 10 times faster on tables. OneSync synchronizes metadata with Snowflake, Databricks Unity Catalog, Google Data Catalog, and AWS Glue. Onehouse says data remains in the customer's account and VPC, encrypted at rest and in motion. Project-level roles, audit logs, SOC 2 Type 1 and 2 certification, and PCI DSS compliance are listed. Usage-based billing uses Onehouse Compute Units, while cloud infrastructure is paid separately. A 30-day OneFlow trial includes $1,000 credit.