Databricks Platform
Lakehouse setup, Delta Lake optimisation and Unity Catalog governance, plus a hard look at your DBU bill.
A Databricks platform that’s governed, fast and affordable
We implement Databricks from the ground up: workspace provisioning, cluster policies, Delta Lake table design and Unity Catalog for enterprise data governance.
Already on Databricks and fighting performance or cost? We find idle clusters, tune job scheduling and cluster pools, use spot capacity where it’s safe, and right-size compute for Spark workloads to bring DBU spend down.
- Unity Catalog
- Delta Lake
- MLflow
- DBU spend
- Cluster pools
- Spot instances
Guide: Databricks DBU cost: where it goes and how to cut it →
- Workspace setup, cluster policies and configuration
- Delta Lake architecture and table optimisation
- Unity Catalog implementation and data governance
- MLflow model tracking and experiment management
- Databricks SQL and BI integration
- DBU cost optimisation, spot capacity and right-sizing
Three steps, no surprises
Assess
Read-only review of workspaces, jobs, clusters and spend.
Implement
Platform setup, governance and optimisations applied with your team.
Prove
Before-and-after cost and performance evidence, plus runbooks.
Pricing
Fixed scope and a fixed price, agreed after a free discovery call. You buy a result, not hours.
FinOps & Cost Optimisation
Kubernetes, Databricks and multi-cloud cost optimisation with evidence behind every saving.
ExploreResilienceDisaster Recovery for Cloud & Databricks New
Custom multi-cloud recovery for your estate, including Databricks, with a tested failover.
ExploreAIClaude & LLM Development
Integrate Claude and leading LLMs into your products, from prompts to production APIs.
ExploreNot sure where to start?
Tell us your situation. We’ll tell you exactly what you need, with no sales deck.