DATABRICKS SERVICES
Migrate to Databricks and build your Data Foundation.
Assess your current environment, define the right target architecture and execute your migration with experienced Databricks engineers.
A Databricks migration is more than moving data
Assess
Understand your current architecture, workloads, dependencies and migration complexity before making the move.
Architect
Design a Databricks environment that is scalable, governed and aligned with your business and AI ambitions.
Migrate
Move data, pipelines and workloads to Databricks with a structured approach designed to minimize disruption.
AI for E-commerce
Make the move without creating new technical debt
A migration is an opportunity to rethink how your data platform works — not simply copy your existing environment to a new technology. We help you identify what should move, what should change and what should be rebuilt.
From the first assessment to production workloads, we combine architecture and hands-on implementation to make your migration practical, controlled and built for the long term.
What we deliver
What our Databricks migration service includes
Migration assessment
We analyze your current data platform, workloads, pipelines and dependencies to understand the scope, risks and opportunities.
Target architecture
We design a modern Databricks architecture that supports your data, analytics, governance and future AI use cases.
Migration roadmap
We create a prioritized roadmap covering workloads, dependencies, migration phases and the decisions required to get to production.
Implementation & migration
Our engineers help execute the migration, from platform setup and data movement to pipeline migration, testing and production readiness.
Selected Work
Case Studies
CASE STUDY
Near real-time inventory visibility and a unified data foundation for analytics and AI.
Dateonic unified POS, e-commerce, ERP and warehouse data on Databricks, enabling real-time inventory insights, consistent reporting and a scalable foundation for forecasting and AI.
CASE STUDY
Customer Intelligence for Premium Retail
A unified customer view with actionable insights for more personalized engagement.
Technical Leadership
A successful Databricks migration starts with making the right architectural decisions.
Bring us your current platform, your migration goals or even the problems you’re trying to solve.
Our CTO will help you understand what a realistic path to Databricks could look like, where the biggest risks are and where migration can create opportunities to improve your data foundation.
FAQ
Migrating to Databricks - FAQ
QUESTION 01
How do I know if my company is ready to migrate to Databricks?
We start with an assessment of your current platform, workloads, architecture and business requirements to determine whether Databricks is the right fit and what migration approach makes sense.
QUESTION 02
How long does a Databricks migration take?
It depends on the size and complexity of your data environment, workloads and dependencies. We define the scope and migration phases during the assessment.
QUESTION 03
Can you migrate from an existing cloud data platform?
Yes. We can help organizations move from legacy platforms as well as existing cloud data environments to Databricks.
QUESTION 04
Can migration improve our existing data architecture?
Yes. We see migration as an opportunity to simplify architecture, improve pipelines, strengthen governance and create a better foundation for analytics and AI.