Lakehouse Optimization

Maximizing cloud performance, scalability, and cost-efficiency

Blueprint + Databricks pair up to deliver data intelligence solutions

Our comprehensive Lakehouse Optimization solution is meticulously crafted for users of Google Cloud, AWS, and Azure. It is designed to fine-tune cloud resources, optimizing performance, scalability, and cost-effectiveness for your business operations. Featuring the Lakehouse Optimizer, this accelerator expedites the journey to peak cloud efficiency, ensuring swift time-to-value for your data-driven initiatives. 

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Increase in platform value

Do more with your existing investment

Our cloud architects and data scientists deliver dashboards that break down usage on a per-second, per-job and per-resource basis to target inefficiencies that consume your platform’s bandwidth.

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Faster run speed

Optimized code and infrastructure

We assess the workloads of your cloud operations with granular modeling including 400+ variables to quickly identify opportunities for hyper-charging query and reporting performance.

Microsoft Azure, AWS and Google Cloud spend monitoring

Usage and spend visibility on any cloud platform

We approach cloud infrastructure holistically to uncover root causes of inefficient spend and slow processing, and we’ve worked with companies across every major cloud provider to optimize their Databricks environment end-to-end. Continually driving efficiency while minimizing processing and rigidity, our optimization solutions deliver immediate ROI and save you thousands in yearly costs.

Featured accelerator

Lakehouse Optimizer

Optimize your lakehouse costs, minimize your total cost of ownership, and drive more value from your cloud workspaces with the Lakehouse Optimizer by Blueprint.

Industry-based, high-value use cases:

Our work

See how we help businesses unlock the potential of the Databricks Lakehouse

Reducing annual cloud spend and maximizing ROI with cluster configuration and improved cloud usage visibility
Improving an existing data pipeline to reduce time-to-insight and applying a machine learning model to better search available data

Databricks Center of Excellence 

Your one-stop Databricks partner

Get more from your Databricks investment within hours