Lakehouse Optimizer for Finance

Genie for Finance | Lakehouse Optimizer

One view of cloud and Databricks spend, health, and ranked opportunities, for the CFO, FinOps, and the platform team. Deployed in your own cloud tenant. Genie’s own consumption reported alongside everything else.

Every dollar explained

Three surfaces, one set of numbers

The bill arrives by workspace. Accountability lives by team. The Optimizer holds the mapping between the two, and lets each audience read it the way they work.

For platform teams

Lakehouse Optimizer

Continuous monitoring of every workload, with the detail to change it and verify the result. Recommendations arrive while engineers code, so the right resources get chosen before the bill does.

For the CFO and CIO

Executive Insights Engine

The whole estate on one page: a health score per workspace, spend, and optimization opportunities ranked by value. What do we have, how are we performing, and what should we do next.

For one specific question

Ask Genie

Ask in plain language. Get the chart, the summary, and the query. Read-only, under your permissions. Why did spend jump last week, and which two jobs caused it.

For the office of the CFO

Spend you can attribute, budget, and forecast

Spend attributed to the job and the team

Intelligent org mapping allocates cost and measures performance by any department, project, or initiative. Drill from a business unit to a single job run and see both the Databricks and the cloud cost represented.

Budgets and chargeback by business unit

Set thresholds and get notified for subscriptions, workflows, clusters, and Lakeflow before an overrun becomes a surprise at month end.

Forecasts you can commit against

Intelligent spend forecasting and historical usage patterns support savings plan and reserved capacity decisions, with variance tracked month to month.

Genie's own consumption, reported alongside

Genie adds users and queries. Their compute shows up attributed to the team that asked, next to every other workload.

Vendor consolidation and true total cost of ownership

The exact cost of retrieving data from third-party systems for every job, so migration and consolidation decisions carry a number.

Augmented FinOps

Blending human insight with AI across the FinOps lifecycle

Observe

Complete visibility into Databricks and cloud costs, including DBUs, clusters, Lakeflow, and jobs.

Analyze

Cost thresholds and notifications across subscriptions, workflows, clusters, and Lakeflow.

Forecast

Intelligent spend forecasting and autoscaling insights.

Optimize

Recommendations that quantify expected impact by job, workspace, or cluster, including serverless versus classic compute.

Govern

Unity Catalog migration assessment: inventory Hive Metastore objects, flag active dependencies, migrate what matters.

Deployed in your cloud tenant on AWS or Azure. LHO reads Databricks and cloud billing telemetry, enriches it, and presents insights without moving your governed data.

Results

Save 30% on total cost of ownership and improve performance by 50%

Published customer results from the Lakehouse Optimizer.

60%

Reduction in storage costs

National transportation and storage company, with 10% savings in compute

40%

Cost savings in month one

American agriculture company, with a further 25% in month two

35%

Reduction in overspend within two weeks

Healthcare pricing transparency company

83%

Databricks cost optimization

IGS Energy, retail natural gas and electric supplier

“Instead of reacting to Databricks bills after the fact, we have clear visibility into where usage is coming from, where it’s headed, and what we’re doing about it.”

Chief Technology Officer, Lakehouse Optimizer customer

Before you book

Frequently asked questions

We already have the Azure cost dashboard.

Azure shows the bill by resource. The Lakehouse Optimizer (LHO) correlates Databricks and cloud telemetry daily, attributes it to the job and the team, and answers the question the dashboard did not anticipate. Native views show spend. LHO shows spend health, job-level drivers, and trusted forecasts with guardrails.

Where does the data live?

LHO is deployed in your cloud tenant. It reads Databricks and cloud billing telemetry, enriches it, and presents insights without moving your governed data.

How fast is time to value?

Teams typically see value in two weeks, with visibility, alerts, and first optimizations live. Your current stack and governance posture determine exact timing.

Will this slow engineers down?

No. LHO is designed for enablement. Recommendations and autoscaling insights help developers choose the right resources while they code, reducing rework and surprise bills.

Is this a cost-cutting tool or an attribution tool?

Both. Attribution comes first, because the savings follow from knowing what drives the spend. The destination is a healthy Databricks estate the CFO can see and attribute. The savings follow from acting on the opportunities it surfaces, and the results above are what customers have published.

Proven in production

Start with a spend review on your own estate

A conversation about cost becomes a conversation about answers. The spend review runs on your Databricks estate, and the readiness assessment is the natural next step when the finance team wants the questions, not just the bill.

Or deploy it yourself

30-day free trial on the Azure Marketplace

Deploy on your own, or let Blueprint guide the AWS or Azure deployment.

Requests go to marketing@bpcs.com. We'll be in touch shortly with times.

Artificial Intelligence

Engineering

Data & Analytics

Strategy

Data governance & Unity Catalog