IOMETE published a four-month evaluation of a Databricks proof of concept supported by a vendor that ended in a no.

IOMETE is the modern data lakehouse for enterprises that need stellar performance without handing control to the hyperscalers. We provide a sovereign, self-hosted lakehouse platform that runs on-premise, in private cloud, or across hybrid environments — ideal for organizations with strict requirements around security, sovereignty, compliance, and cost predictability. Enterprises use IOMETE to replace aging Hadoop and legacy warehouses, consolidate fragmented data stacks, and power analytics, machine learning, and AI workloads at scale. The platform includes high-performance compute (SQL + Spark), ACID-compliant lakehouse storage, governance and lineage, workflow orchestration, ingestion frameworks, and full operational observability — all deployed inside the customer’s own infrastructure. Why enterprises choose IOMETE: • Full control over data, keys, and governance — no SaaS exposure, no Cloud Act risk • Predictable, transparent vCPU-based licensing instead of usage-based cost shocks • No vendor lock-in: open standards, open formats, Kubernetes-native portability • Enterprise-grade security architecture aligned with SOC2/ISO frameworks • Designed for high-security, regulated, and air-gapped environments • Seamless integration with existing systems, including on-prem object storage and Kubernetes • Built for AI: performance for large-scale analytics, ML pipelines, and GPU-enabled workloads IOMETE gives enterprises a modern, cloud-like data platform that runs wherever their data lives — data centers, sovereign cloud, edge, or hybrid deployments. A single platform for analytics and AI, delivered on your terms, with complete control over performance, security, and cost.