Introduction
The Lakehouse Optimizer (LHO) by Blueprint is a unified optimization and observability platform designed to help organizations understand, control, and improve the performance and cost efficiency of their Databricks environment. By combining deep telemetry, intelligent analytics, and actionable recommendations, LHO provides end‑to‑end visibility across compute, storage, pipelines, vendors, and governance.
Whether you’re managing budgets, optimizing workloads, migrating to Unity Catalog, or simply trying to understand where your Databricks dollars are going, LHO gives teams the clarity and confidence they need to make smarter decisions — quickly and at scale.
Lakehouse Optimizer (LHO) provides organizations with visibility, control, and actionable insights that help improve Databricks cost efficiency, performance, and operational governance.
LHO is structured around four core pillars:
Cost Management & Control
Visibility into spend, forecast, budgets, commits, and efficiency trends. Flexible reporting lenses, including by provider (Databricks vs. cloud services), by compute feature, by environment, or by cost‑allocation metadata such as tags. Cost Control incidents act as guardrails to surface unexpected changes or risks.Optimization Recommendations
LHO analyzes workload telemetry to surface actionable insights that improve performance and reduce unnecessary spend. The goal of this pillar is to guide teams toward data‑driven decisions that enhance efficiency while maintaining reliability.UC Migration Support
LHO provides visibility into legacy usage, active references to older systems, and progress toward modernized access paths. This helps organizations move toward unified, governed, and simplified data architectures at an informed and manageable pace.Vendor Consolidation
Exposure of external and legacy systems endpoints detected during workload execution. By surfacing these references, LHO enables teams to identify non‑standard access patterns, address fragmentation, and reduce dependencies on systems outside the intended architecture.
Collectively, these pillars create a unified optimization framework for organizations to operate Databricks more efficiently, reliably, and confidently. They serve as the foundation for all additional capabilities in LHO, including KPI tracking and telemetry.
Explore how LHO can help your organization:
To get started with the Lakehouse Optimizer, select your cloud provider below:
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