Databricks and Snowflake costs are spiralling. Every year the same manual optimization game — and the budget stays flat. There is a better way.
Use cases grow, consumption climbs, cloud costs explode — but the budget stays flat. Closing that gap manually costs time, energy, and engineering capacity you don't have to spare.
More workloads, more pipelines, more teams onboarding. The platform expands — and so does its footprint.
More jobs, more clusters, more compute hours. Databricks DBU and Snowflake credit spend climbs with every new project that goes live.
AWS, Azure, or GCP: the monthly invoice surprises every time — despite forecasts, budgets, and alerts.
More growth, same resources. Finance doesn't understand the cost structure. IT can't prioritize. Everyone loses.
The right mix of automated optimization, strategic FinOps advisory, and a unique network inside the DACH Databricks and Snowflake community — delivering measurable results without endless implementation cycles.
maximum cost reduction
in real production environments
guaranteed minimum savings potential
in qualified environments
No long-running projects. No endless workshops. We start with an honest assessment — and deliver first results within weeks.
Analyze current Databricks and Snowflake spend. Identify the biggest levers and quick wins.
Define savings targets together, build a governance model, and select the right tooling mix.
Deploy automated optimization — live in under 5 minutes, immediate impact, zero disruption.
Dashboards, showback reports, and regular reviews — costs stay under control for good.
I work with decision-makers and builders who want to run and scale their Databricks and Snowflake environments professionally — without losing sight of costs.
A 30-minute conversation is enough to estimate the savings potential in your environment.