Beyond visibility
Databricks is one of the most price-performant data intelligence platforms on the market today. But to realize its full value, organizations need more than access to powerful tools. They need visibility, governance, and continuous optimization to keep pace with evolving use cases and growing complexity.
That is where Blueprint Technologies’ Lakehouse Optimizer (LHO) makes a difference. Purpose-built for Databricks, LHO equips organizations with a deeper understanding of how the platform is being used and how to make it more efficient. It helps leaders turn raw consumption into strategic insight and gives them the ability to act on it.
Complete visibility, without the guesswork
LHO deploys directly into your Databricks environment, whether on Azure, AWS, or GCP, and combines cloud-side telemetry with platform-side data to give you a unified view of cost and usage. This allows teams to monitor spend and performance across environments with full transparency.
It answers questions like:
What are we spending and where?
Which workloads or teams are driving the most cost?
How can we benchmark performance and efficiency over time?
Intelligent org mapping
Allocates costs and track performance by department, project, or initiative. This enables more intentional resource planning and accountability across the organization.
Intelligent forecasting
Adds another layer of value by using your actual usage data to predict future cloud spend. This helps teams manage budgets proactively and avoid unexpected costs especially critical when adopting resource-intensive technologies like GenAI.
Smarter optimization, not just observation
LHO does more than show you where money is being spent. It also tells you how to spend it more wisely.
Its AI-powered rules engine continually learns from your environment and surfaces actionable recommendations to reduce waste and improve efficiency. These insights evolve as your workloads and configurations change, ensuring your lakehouse remains optimized over time.
Key optimization features include:
Intelligent recommendations:
Autoscaling insights:
Pool contention reporting:
Identifies idle VMs and offers guidance on how pooling can improve resource allocation.
Simplifying vendor consolidation
In many organizations, Databricks operates alongside legacy systems like Redshift, Snowflake, SQL, or Teradata. These systems often duplicate functionality and introduce added complexity and cost.
With LHO’s vendor consolidation and reconciliation capabilities, you can see the exact cost of retrieving data from third-party systems for each job in Databricks. This clarity helps teams identify where migrations make sense and provides the financial evidence needed to support those decisions.
It also enables a cleaner architecture by reducing reliance on external systems and the pipelines required to maintain them.
Supporting key transitions with confidence
Many teams are preparing to move to Databricks’ Unity Catalog to gain stronger data governance. But migrations can be complex and risky without proper insight.
LHO provides a Unity Catalog migration assessment to reduce that uncertainty. It automatically determines which objects need to be migrated and which code needs to be converted. This reduces manual effort, helps you avoid missteps, and keeps your migration on budget and on time.
Turning usage into ROI
At its core, LHO helps you get the most out of every dollar you spend on Databricks.
It gives your teams the tools to:
- Eliminate inefficiencies
- Forecast and plan with confidence
- Improve platform governance
- Accelerate decision-making
- Optimize for both performance and cost
Recognized by Gartner for innovation that drives value
Gartner has identified Augmented FinOps as an emerging trend with transformative potential, yet it has reached only 1% market adoption. The topic appears in seven separate Gartner Hype Cycle reports published in July 2025. Blueprint Technologies was named a Sample Vendor in each, reflecting our focus on helping enterprises navigate the evolving landscape of cloud financial operations.
Our Lakehouse Optimizer is purpose built for Databricks, combining observability, cost management, and governance in a single solution. Recognition across multiple Gartner reports aligns with our mission to deliver practical tools that support business outcomes.
Ready to see how it works?
If you are looking to maximize your Databricks investment and remove the guesswork from optimization, schedule a demo with the Blueprint team to see how the Lakehouse Optimizer delivers clarity and control where it matters most.
