Technical Review · For technical buyers
Know what to fix before you spend more on Databricks.
The review is diagnostic. We look at the system as it actually runs, then tell you what is strong, fragile, unnecessary, or blocking progress—and whether implementation help is required.
Architecture-led · Practical recommendations · Clear next steps
Business leader? Start with the Executive Data & AI Assessment instead.
Request a review
Five minutes. A senior technical lead reads it.
What the technical review examines.
- Platform architecture
- Workloads
- Data sources
- Ingestion
- Pipelines
- Orchestration
- Data modeling
- Unity Catalog
- Permissions
- Lineage
- Analytics
- ML / AI workloads
- Performance
- Compute usage
- Technical debt
- Business requirements
What you leave with
Architecture Findings
What is strong, fragile, unnecessary, risky, or blocking progress.
Prioritized Roadmap
What should happen now, next, and later.
Recommended Architecture
How the environment should evolve.
Engagement Options
Whether implementation assistance is actually required.
Before you request it
What do you need from us to start?
A work email, a short description of the current Databricks (or pre-Databricks) situation, and access conversations after we confirm the review. You do not need a polished brief.
Is this a sales workshop?
No. The review is diagnostic. If the honest recommendation is that you do not need us for implementation, that is the recommendation.
How is this different from a vendor health check?
We look at architecture, operating model, and business constraints together—not only at whether a feature is enabled. Databricks being present is not the same as a platform being designed.
Will you sign our NDA?
Yes, when the conversation requires it. Environment detail stays in the engagement, not in marketing.