Are you getting the most
out of Databricks?
A 2-minute self-assessment that benchmarks your lakehouse architecture, data engineering, and AI/ML maturity against peer Databricks deployments. Instant score. Actionable report. No sales call required.
Five dimensions.
One optimization score.
LakehouseIQ evaluates how effectively you're leveraging Databricks across architecture, engineering, AI/ML, performance, and governance \u2014 the five pillars that separate cost centers from competitive advantages.
Unity Catalog adoption, Delta Lake maturity, medallion architecture, and data governance.
Pipeline maturity, DLT usage, workflow orchestration, and streaming vs batch.
MLflow adoption, model serving, Mosaic AI, and feature store usage.
Cluster optimization, Photon adoption, serverless compute, and cost management.
Skills, training, certifications, access controls, and compliance.
Three steps.
Under two minutes.
Built for data leaders who know their Databricks stack. Every question is answerable in under 10 seconds.
One question at a time. Multiple choice. Each option describes a real state of Databricks adoption we see across organizations.
Composite score from 0–100 with tier label and dimension-level breakdown benchmarked against peer organizations.
3 prioritized recommendations with quantified expected impact. Something you can bring to your leadership team.
The gap between “using Databricks”
and “optimized Databricks” is measurable.
Every organization on Databricks is paying for the platform. The ones pulling ahead are the ones actually leveraging what they're paying for.
Most organizations leave significant value on the table — default cluster configs, no Photon, no serverless. The score tells you exactly where your optimization gaps are before you overspend for another quarter.
Organizations with full medallion architecture, Unity Catalog, and DLT deliver data products 3x faster. If your team is still manually managing notebooks, you're paying an invisible tax on every project.
Based on our benchmark dataset. Most organizations are in the "Delta Builder" tier — solid in some areas, underinvesting in others. Knowing which dimensions to prioritize is the first step to ROI.
Databricks Success Credits
Already know you need help? As a Databricks Consulting Partner, Blue Orange Digital can help you access 20-30% service credits on your next optimization engagement. Check your eligibility in 30 seconds \u2014 no obligation.
Check Your Eligibility →Databricks Consulting Partner with production deployment expertise.
- Databricks Consulting Partner with deep expertise across lakehouse architecture, data engineering, and AI/ML.
- Specialized in Unity Catalog migrations, DLT pipeline optimization, and Mosaic AI deployments.
- Our benchmark data comes from real engagements, not surveys. We know what optimized Databricks looks like.
- Outcome-aligned engagement model: our revenue is tied to the results we deliver, not the hours we bill.
FAQ
What is the LakehouseIQ assessment?
LakehouseIQ is a 2-minute, 10-question self-assessment for existing Databricks customers. It scores your organization across five dimensions — Lakehouse Architecture, Data Engineering, AI/ML Maturity, Performance & Cost, and Team & Governance — producing a composite score from 0–100 benchmarked against 100+ Databricks deployments.
Who is the LakehouseIQ assessment designed for?
LakehouseIQ is designed for CTOs, CDOs, data engineering leads, and platform teams at organizations already using Databricks who want to objectively benchmark their platform utilization and identify the highest-impact optimization opportunities.
How long does the assessment take?
The assessment takes approximately 2 minutes to complete. There are 10 multiple-choice questions, each answerable in under 10 seconds. Your score and PDF report are generated immediately upon completion.
Is the LakehouseIQ assessment really free?
Yes. The LakehouseIQ assessment, your composite score, peer benchmarks, and the full PDF report with prioritized recommendations are all free. No sales call is required to receive your report.
How are LakehouseIQ scores calculated?
LakehouseIQ scores are calculated across five weighted dimensions: Lakehouse Architecture (25%), Data Engineering (25%), AI/ML Maturity (20%), Performance & Cost (20%), and Team & Governance (10%). Your composite score is normalized to a 0–100 scale and compared against benchmark data from 100+ Databricks deployments.
What do I get after completing the assessment?
After completing the assessment you receive an instant composite score (0–100), a tier classification (Spark Starter through Databricks Champion), dimension-level scores with peer comparisons, and a downloadable PDF report with 3 prioritized, impact-quantified recommendations specific to your lowest-scoring dimensions.
AI Data Optimization: A Portfolio-Wide Framework for EBITDA Enhancement
A production-ready, portfolio-scalable methodology for identifying, prioritizing, and sequencing AI and data investments that drive measurable EBITDA enhancement. Backed by validated data from McKinsey, Bain, BCG, EY, and production deployments.
- 30+ scored use cases with validated EBITDA impact ranges
- Composite prioritization score balancing impact, readiness, and complexity
- 2–5% cumulative EBITDA impact in 90 days, scaling to 15–30% over 18 months
- Portfolio heatmap methodology for horizontal AI plays
Benchmark your Databricks
in 2 minutes.
Walk away with a score, a peer comparison, and 3 prioritized recommendations. The full PDF report is yours immediately \u2014 no follow-up call required.
Get Your Optimization Score →