Data Warehouse Migration Consulting
Migrate to modern cloud platforms—without disrupting your business.
25+
Years of data expertise
100K+
Workloads migrated or managed
45+
Technology specializations
Data migration use cases: Migrate toward a competitive advantage
Production-ready migration solutions for every platform and every path forward.
Move to the cloud with confidence
Cloud migration
We move your data infrastructure to any major cloud provider with minimal disruption—optimized from day one for analytics and AI.
Migrate between database technologies
Database migration
We refactor code, convert schemas, and plan cutover—so applications keep running while the foundation changes.
Modernize legacy data platforms
Data platform migration
We translate proprietary code into cloud-native equivalents—preserving the business logic your teams depend on.
Rebuild pipelines for the modern stack
ETL and pipeline migration
We re-engineer data flows on modern frameworks—turning migration into a chance to eliminate technical debt.
Switch cloud providers without starting over
Cross-cloud migration
We manage cross-cloud migrations across any provider combination so you don't lose momentum.
Rehost quickly, then optimize
Lift-and-shift migration
Sometimes the fastest path to value is leaving the data center first. We rehost with minimal code changes, then build a phased roadmap to modernize in the cloud.
Wayfair saves millions and boosts performance with a strategic migration
Pythian supports the acceleration of data insights facilitating ROI-focused migration.
Pythian partnered with Wayfair to migrate thousands of SQL applications and petabytes of data to Google Cloud—resulting in 23 percent faster browsing, 30 percent less fraud, and millions in cost savings. The migration accelerated data insights and empowered the global eCommerce company to streamline data management at scale.
Data migration that achieves modernization with zero-disruption
Cataloguing dependencies
We catalog workloads, dependencies, and business logic across your environment. The output is a migration readiness assessment with no surprises later.
Finding the right path
We recommend the right path based on workloads, budget, and strategic goals—grounded in ROI modeling, not vendor loyalty.
Driving toward the target-state
We design target-state architecture with detailed cutover plans and rollback procedures—so the business keeps running throughout.
Data integrity validation
We migrate data, pipelines, and business logic—refactoring code and validating integrity at every step. Dual-run validation confirms identical results before cutover.
Team training
We validate that migrated data matches the source semantically—not just structurally—and train your teams. Post-launch managed services keep your environment optimized as it evolves.
Ready to migrate your data platforms?
Pythian's related data migration services
End-to-end data, analytics, and AI consulting that ensures your migration delivers business value.
Align your data investments with business goals
Data strategy and management consulting
Technology without strategy is expensive noise. We define governance policies, data ownership, and a roadmap that aligns every migration investment with your priorities.
Turn data into decisions with BI and reporting
Business intelligence consulting
Your data platform exists to power better decisions. We design dashboards and self-service analytics that put actionable insights in the hands of business users—turning migration into daily value.
Operationalize predictive and advanced analytics
Advanced analytics consulting
Once your platform is stable and governed, the real payoff begins. We build predictive models and ML pipelines that move you from descriptive reporting to forward-looking decisions—the bridge to production AI.
Data migration consulting services frequently asked questions (FAQ)
Security is built into every phase of our migration process. We establish clear policies for data access, handling, and classification from day one, along with encryption, metadata management, and fine-grained access controls. During migration, we maintain strict data integrity validation and audit trails so your sensitive information is protected throughout the transition—not just after go-live. For regulated industries, we remap existing security frameworks (Kerberos, Ranger, platform-native IAM) to cloud-native equivalents, ensuring zero gaps in compliance coverage.
Every engagement starts with a strategic assessment that maps your migration to specific business outcomes—whether that's reducing total cost of ownership, accelerating time-to-insight, or enabling new analytics and AI capabilities. We track quantifiable milestones throughout delivery, and our phased approach means you start seeing returns on high-value workloads early in the migration. Post-launch optimization services ensure your new platform continues to deliver value as your data volumes and business needs evolve.
We develop detailed cutover plans with rollback procedures and temporary synchronization architectures that keep both source and target systems running in parallel during the transition. Dual-run validation confirms the new environment produces identical results before we cutover. Our migration timeline is tailored to your business calendar—avoiding peak periods and delivering phased milestones so critical workloads are never at risk.
Pythian's consultants are proficient in 45+ data technologies—from legacy on-premises systems like Teradata, Netezza, Hadoop, and Oracle to modern cloud-native platforms like Snowflake, BigQuery, Databricks, Fabric, Redshift, and more. We handle every combination: on-premises to cloud, cloud to cloud, database to database, and full data estate migrations. Our vendor-neutral approach means we recommend the right target based on your workloads and business goals, not on partner incentives.
.svg){kind=small}
.svg){kind=small}