Migration · Proof of Value

Snowflake to Databricks
Migration PoV

We migrate a representative workload from your Snowflake environment to Databricks. You get a detailed performance and cost comparison on your own data and a migration roadmap for the full move.
Talk to an expert
See what’s included
The Evaluation Problem

The Snowflake-to-Databricks decision is hard to make without real data.

Vendor performance claims don't reflect your workloads. Internal PoCs stall without the right expertise. And the longer the evaluation takes, the more the cost of staying on Snowflake compounds. The PoV is designed to close the evaluation, not to extend it.
The Buy-In Problem
"We have Databricks on the roadmap. We need real numbers to justify the decision internally."
A performance or cost comparison built on synthetic data or vendor benchmarks doesn't hold in a CFO or board review. The PoV produces a comparison built on your actual workloads, one you can defend.
The Comparison Problem
"We've seen Databricks demos. We don't know if they reflect our setup."
Databricks performs well on reference workloads. What matters is whether it performs well on yours: your data volumes, your pipeline patterns, and your SQL complexity. This PoV answers that question.
The Scope Problem
"We don't know how complex a full migration would be. We need someone to look at our Snowflake setup."
Most organisations underestimate the scope of a migration until it's properly mapped out. The PoV includes a detailed workload assessment that reveals the real complexity and produces a phased migration roadmap you can plan against.
What's Delivered

Five deliverables.
All the evidence you need to make the call.

The PoV produces everything you need to make a confident migration decision and defend it internally. Every measurement and finding is based on your actual Snowflake setup and your selected use case.
Performance Comparison

Databricks versus Snowflake on your actual workload. Runtime, query speed, and scalability are measured at your data volumes, not with synthetic benchmarks.

Cost Analysis

A side-by-side cost model with a savings projection for the full migration, based on your current Snowflake spend and the Databricks compute your workloads would need.

Feasibility Assessment

Technical compatibility analysis covering developer experience, feature parity, and migration complexity for your specific Snowflake setup. Risks are identified early, before they affect the migration.

Migration Roadmap

A phased plan for the full migration, with workloads sequenced by priority, estimated timelines, and flagged risks. Ready to hand to an engineering team or use for project planning straight away.

Findings Report

A comprehensive summary of what we found, what we built, and what we recommend. Written to be shared with leadership, finance, or a project steering group.

The Process

Four steps to a confident migration decision.

step 00
Pre-Requisites
You choose the use case and we plan the project, helping you select a workload that represents your wider setup.
step 01
Assessment
A thorough review of your current Snowflake setup, covering the features, workloads, and data patterns in use.
step 02
Lift & Shift
The selected use case is moved to Databricks end to end, including its pipelines, transformations, and data.
step 03
Report
Cost and performance measured on Databricks and compared side by side with your Snowflake baseline.
step 04
Evaluation
Recommendations based on the results, with a phased roadmap for the full migration.
Ready to talk?
Talk to an expert
Customer Stories

Real projects. Measurable outcomes.

TechnoAlpin

From snow guns to smart systems: TechnoAlpin’s data transformation with Datapao

When we ski down a perfectly groomed slope in the early morning, we rarely think about the streams of data pulsing behind the scenes.
Timeline
Unified data platform live in under 12 weeks
Enablement
Internal team fully enabled to operate independently
Performance
60% reduction in pipeline processing time
Read the whole study
Manufacturing

Also on Migration

Already have the business case and looking to migrate your governance layer? Unity Catalog Reference Migration covers access controls, lineage, and cross-workspace configuration.
01
Unity Catalog Reference Migration
Migrate your existing metastore and governance layer to Unity Catalog. Access controls, lineage, and cross-workspace setup — in four weeks.
Learn More

Not migrating an existing system but building a Lakehouse from the ground up?

Platform Buildout covers Databricks Lakehouse implementation for organisations without a legacy system to migrate or building net-new capabilities alongside an existing environment.
01
Platform Buildout
Design and build a production-ready Databricks Lakehouse from the ground up - architecture, pipelines, governance, and operational handover included.
Learn More

The evaluation doesn't have to take months.

Tell us what you're running on Snowflake today. We'll select a representative workload and show you how Databricks performs on your own data.
Services
Experience
Resources
Careers
Company
Legal information
GDPR