Alternatives to Starburst Data Platform

Google Cloud Lakehouse for Apache Iceberg

It suits teams working with Apache Iceberg tables that need SQL analytics, streaming ingestion, transactions, and catalog governance.

AetherLake suits teams seeking a self-hosted, Kubernetes-based data platform with SQL, streaming, orchestration, BI, and identity components.

Datastrato Iceberg Lakehouse Platform

Datastrato targets enterprise teams and developers working with metadata management, governance, and AI-ready infrastructure.

Bauplan

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

It suits teams building self-hosted data lakes or lakehouses with streaming ingestion, incremental processing, SQL analytics, and transactional table operations.

IOMETE

IOMETE is designed for enterprise data teams and describes itself as built by engineers for engineers.

LavaLake

LavaLake suits organizations seeking a self-hosted data platform with SQL, dashboards and permission-aware AI tools.

Oracle Autonomous AI Lakehouse

It suits teams combining cloud-based lake data with warehouse, analytics, and AI workflows.

OpenLake

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

Onehouse Cloud

It suits teams accelerating Spark workloads, reducing warehouse costs, or building an analytics platform in their own VPC.

Starburst Galaxy

It suits organizations that need cross-source SQL analytics but lack resources to manage complex data clusters.

Microsoft Fabric Notebooks

It suits data engineers and data scientists working with Spark notebooks, lakehouses, and scheduled jobs.