The best Amazon SageMaker Lakehouse alternatives

This offering may suit organizations working with Apache Iceberg tables that need SQL analytics, streaming ingestion, ACID transactions, and a…

Starburst recommends Galaxy for organizations that do not yet have resources to manage complex data clusters.

It suits organizations that need to query distributed data across varied environments, including teams working on analytics, AI, or applications.

LavaLake may suit organizations seeking an on-premises data platform with SQL, dashboards, and permission-aware AI tools.

Bauplan suits developers and AI agents building, validating, and shipping data pipelines on production data.

It suits data engineers and data scientists working with Spark notebooks, lakehouses, and scheduled jobs in a web or API environment.

AetherLake suits teams that can operate Kubernetes and want a self-hosted lakehouse with streaming, SQL, catalog, and orchestration components.

Hudi suits teams building data lakes or lakehouses that need streaming ingestion, incremental processing and table operations.

IOMETE is aimed at enterprise data teams, especially engineers who need a lakehouse platform across on-premises, cloud or hybrid deployments.

The platform suits enterprise teams and developers managing metadata, governance, lakehouse operations, and AI-ready infrastructure.

It is presented for teams accelerating existing Spark workloads, reducing warehouse costs or building a new analytics platform.

OpenLake is aimed at analysts, engineers, and administrators in regulated, sovereign, classified, or multi-account organizations.

TBDS is intended for data analysts, data scientists, business intelligence platforms, and enterprises managing data pipelines or cross-business-unit…

It suits hotel brands and technology providers building reporting, BI, CDP, AI, automation, or partner services on hospitality data.