Identify unnecessary jobs, inefficient data pipelines, and suboptimal resource utilization.
![](jpg/lho-overview-1-scaled.jpg)
See value in
3 easy steps
Monitor
Databricks utilization
Discover recommendations
Take action,
reduce costs
The Lakehouse Optimizer provides you…
Intelligent forecasting:
Receive financial predictability and stability of your organization’s spend
![](webp/intelligent-forcasting-1-1200x668.webp)
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Unity Catalog migration assessment
Evaluate the current state of your Databricks environment to determine its readiness for migration to Unity Catalog and identify the necessary work for the transition.
Executive insights engine:
Ability to allocate cost and measure performance by department, project, and initiative
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![](webp/intelligent-recommendations-3-1200x818.webp)
Intelligent recommendations:
Receive specific, actionable recommendations tailored to your organization’s environment
Pool contention reporting:
Understand how to minimize latency for new workloads and maximize throughput
![](webp/pool-contention-2-1200x752.webp)
![](webp/autoscaling-insights-1200x689.webp)
Autoscaling insights:
Identify inefficiencies and optimal autoscaling policy configurations
Common challenges → Big wins
LHO's practical impact on your business
- Monthly bill management
- Monitor budget
- Cost management
- Performance tuning
Engineering leader receives an unexpectedly high bill
Scenario
LHO solution
![](png/optimization-health-2-1045x1200.png)
Monitoring budget against forecasted spend
Scenario
LHO solution
![](webp/intelligent-forcasting-1-1200x668.webp)
Cost management and optimization
Scenario
LHO solution
![](png/breakdown-1200x1030.png)
Performance tuning of data pipelines
Scenario
LHO solution
![](png/unhealthy-spend-2-694x1200.png)
- Monthly bill management
- Monitor budget
- Cost management
- Performance tuning
Engineering leader receives an unexpectedly high bill
Scenario
LHO solution
![](png/optimization-health-2-1045x1200.png)
Monitoring budget against forecasted spend
Scenario
LHO solution
![](webp/intelligent-forcasting-1-1200x668.webp)
Cost management and optimization
Scenario
LHO solution
![](png/breakdown-1200x1030.png)
Performance tuning of data pipelines
Scenario
LHO solution
![](png/unhealthy-spend-2-694x1200.png)
Engineering leader receives an unexpectedly high bill
Scenario
LHO solution
![](png/optimization-health-2-1045x1200.png)
Monitoring budget against forecasted spend
Scenario
LHO solution
![](webp/intelligent-forcasting-1-1200x668.webp)
Cost management and optimization
Scenario
LHO solution
![](png/breakdown-1200x1030.png)
Performance tuning of data pipelines
Scenario
LHO solution
![](png/unhealthy-spend-2-694x1200.png)
![Michael Hallak, Director of Product, Blueprint Technologies](png/michaelh_speaker-event.png)
Michael Hallak
Director of Product Sales
Right-size compute resources and optimize storage costs to eliminate waste in your environment with the Lakehouse Optimizer.
![Microsoft Azure Logo](png/microsoft-azure-1200x224.png)
![Blueprint Technologies are AWS partners](png/aws-partnership.png)
![Blueprint Technologies work within Google Cloud environments to solve cloud and infrastructure solutions.](png/google-cloud.png)
Achieving unified governance for data and AI
Unity Catalog migration powered by LHO
Is migrating to Unity Catalog on your to-do list? This webinar will leave you with a comprehensive understanding of how to efficiently migrate and optimize your lakehouse for good.
Additional resources
![](png/lho_demo.png)
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Frequently asked questions
The Lakehouse Optimizer is available for a 30-day Free Trial in the Azure Marketplace to deploy on your own.
You can follow this guide for assistance. If you would rather have a guided experience, Blueprint can help you through your AWS or Azure deployment to get you up and running.
With LHO you can see not only your spend, but understand if its healthy or unhealthy, while getting transparency across the organization for the attributed spend. You can even drill all the way down to individual autoscaling events or code block execution of an individual job run for a workflow executed and see both Azure and Databricks costs represented.
The Lakehouse Optimizer is most commonly used by managers to receive alerts about critical issues, such as nearing budget limits, unexpected cost spikes, or unusual spending patterns. These alerts help managers quickly identify and address potential problems.
For developers, the Lakehouse Optimizer is often used while writing data pipelines. As they write code, LHO guides them in properly configuring clusters and selecting the right resources. This ensures that the code is optimized for the resources needed and that the appropriate tools are used for each task.
Absolutely.
The Lakehouse Optimizer offers features that help you identify relevant data and optimize your jobs or workflows. It provides detailed recommendations, total cost analysis, and other insights that guide you in making the necessary adjustments for improved performance and efficiency.
If you’re focused on specific jobs or clusters, start by reviewing the ones you’re responsible for and see what insights the Lakehouse Optimizer offers. Check if there are any recommendations for optimizing performance or reducing costs.
For those overseeing broader operations, it’s helpful to begin with a high-level view of your tenant or workspace. This will give you a clear picture of where spending is concentrated within Databricks and your cloud provider, providing a strong starting point for further analysis and optimization.
The Unity Catalog Migration Assessment evaluates your current Databricks environment to determine its readiness for migration to Unity Catalog. It also identifies the specific steps required for a successful transition. With Blueprint’s proven expertise, we have achieved a 100% success rate in Unity Catalog migrations.