Accelerate Your
Journey to the CloudDiscover How EPAM Can Help You Migrate and Modernize
Cloud Data Migration & Modernization
Enterprise Cloud Data Migration. Governed by Design
Cloud migration is vital for innovation, agility, and long-term ROI; however, legacy and fragmented BI landscapes often hinder progress. Undocumented data flows, redundant assets, and scattered dependencies increase cost, delay timelines, and risk business disruption.
At the same time, enterprise demands are rising: scalable platforms, self-service analytics, AI-ready data, and governed, audit-ready pipelines. Traditional lift-and-shift methods can’t keep up.
With automation-first intelligence, built-in migration governance, and the trusted migVisor accelerator suite, we help organizations de-risk and de-complexify data modernization, delivering a clear and rapid path to the cloud and AI.
Up to 90% Effort Reduction
Accelerate every migration stage with automation, dependency mapping, and streamlined orchestration
50%+ Cost Savings
Eliminate rework, reduce manual validation, and align migration scope with business value
40% Faster Time-to-Cloud
Remove bottlenecks with automated complexity scoring, pre-built templates, and roadmap-driven workflows
Platform-Ready for AI & Scale
Unlock cloud-native capabilities, real-time insights, and AI/LLM integration — on governed, future-ready infrastructure
How Your Journey to the Cloud Looks Like
01
DISCOVERY & ASSESSMENT
We analyze your legacy landscape, map dependencies, assess risk, and define a roadmap for a seamless, insight-led transition.
Software to be used
migVisor Analytics
Scans apps, databases, and data flows to map dependencies, identify blockers, and prioritize workloads
migVisor™ Transactional
Transforms legacy database objects into cloud-native formats
02
Migration & Modernization
We convert legacy code, build cloud infrastructure, and migrate applications smoothly, minimizing disruption.
Software to be used
migVisor Code Converter
AI Agentic tool that converts legacy code to cloud-ready formats
migVisor BI Converter
Converts legacy BI reports to modern dashboards
migVisor Streaming CE
Simplifies and accelerates legacy streaming workload transitions to the cloud
03
Validation & Optimization
We verify data integrity, optimize workloads, and enhance system reliability to ensure efficient cloud performance.
Software to be used
migVisor Reconciler
Ensures consistency by validating migrated data, schema, and objects before cutover
Type of work
Legacy Systems
Software to be used
DISCOVERY & ASSESSMENT
We analyze your legacy landscape, map dependencies, assess risk, and define a roadmap for a seamless, insight-led transition.
Migration & Modernization
We convert legacy code, build cloud infrastructure, and migrate applications smoothly, minimizing disruption.
Validation & Optimization
We verify data integrity, optimize workloads, and enhance system reliability to ensure efficient cloud performance.
01
02
03
migVisor Analytics
Scans apps, databases, and data flows to map dependencies, identify blockers, and prioritize workloads
migVisor™ Transactional
Transforms legacy database objects into cloud-native formats
migVisor Code Converter
AI Agentic tool that converts legacy code to cloud-ready formats
migVisor BI Converter
Converts legacy BI reports to modern dashboards
migVisor Streaming CE
Simplifies and accelerates legacy streaming workload transitions to the cloud
migVisor Reconciler
Ensures consistency by validating migrated data, schema, and objects before cutover
Cloud-Based Systems
1/4
Pricing Options
Smart Assessement
Assessment & Data Analysis
From$50,000
- Automated Assessment
- Deep analysis of Reports, ETL and DW object dependencies
- Migration Roadmap Design
- Execute PoC
- Execute Pilot Migration
- Cases for analysis - 10-15
- Team size - 3 ppl
Migration Design & PoC
Smart Assessment with Migration Design and PoC
From$80,000
- Automated Assessment
- Deep analysis of Reports, ETL and DW object dependencies
- Migration Roadmap Design
- Execute PoC
- Execute Pilot Migration
- Cases for analysis - 10-15
- Team size - 4 ppl
Migration Pilot
Smart Assessment with Migration Design and Migration Pilot
From$350,000
- Automated Assessment
- Deep analysis of Reports, ETL and DW object dependencies
- Migration Roadmap Design
- Execute PoC
- Execute Pilot Migration
- Cases for analysis - 10-15
- Team size - 8 ppl
Success Stories
Modern Analytics Platform in Azure Cloud
Migration of UK's legacy analytics stack to Azure Cloud, reducing costs, modernizing infrastructure, and achieving a 30% scope reduction for faster delivery
Go to Details
Supply Chain Data Platform Modernization
Delivered a Databricks MVP on Azure for Exadata warehouse migration, emphasizing automated assessments, reducing legacy complexity, and enabling Supply Chain transformation
Go to Details
Scalable Data Platform on AWS Redshift
Migrated Exasol data to AWS Redshift, boosting scalability, improving query performance, and modernizing workflows using Databricks and Delta Lake
Go to Details
Learn More about Each of Our Tools
migVisor Analytics
Assessment Tool for Data Analytics
A unified tool for inventory assessment to speed up migration and modernization of Data Analytics Platforms
migVisor™ Transactional
Cloud migration assessment tool
Assess your databases and applications for migrating to the cloud.
migVisor Code Converter
Code Conversion Tool
A unified tool that converts legacy SQL dialects to modern cloud data platforms and automatically converts ETL and reports to cloud native solutions.
migVisor BI Converter
Automated BI Migration
The ultimate BI Migration Automation tool for your enterprise at any scale
migVisor Reconciler
Data validation and reconciliation tool
An efficient tool for multi-source data validation or post-migration reconciliation, performs data consistency checks between the source and target
migVisor Streaming CE
Streaming Assessment and Provisioning Tool
A UI based unified tool for streaming platforms migration Assessment and comprehensive Resource Provisioning planning using a modifiable migration plan for the Confluent Cloud platform
Frequently Asked Questions
What is EPAM’s overall approach to cloud data migration?
EPAM follows a modular, phased delivery approach: discovery and assessment, future-state architecture design, pilot execution, full data migration, and optimization. This framework enables organizations to move at speed while minimizing risk and ensuring each stage is aligned with business objectives.
How does EPAM assess an organization’s cloud readiness?
EPAM begins the data migration process with a comprehensive cloud readiness assessment using tools like migVisor Analytics. This tool evaluates legacy systems, identifies modernization blockers, analyzes interdependencies, and categorizes workloads by complexity. The result is a detailed, data-driven roadmap that guides a strategic and prioritized migration approach.
How does EPAM automate the migration process?
EPAM integrates automation across the migration lifecycle using tools such as migVisor Converter and migVisor Reconciler. The Converter automates the transformation of legacy database code and objects into cloud-compatible formats, while the Reconciler validates consistency between source and target systems — significantly reducing manual effort, time, and risk.
What data migration strategies does EPAM support?
EPAM supports a variety of cloud data migration strategies including rehosting (lift-and-shift), re-platforming, and re-architecting. The chosen strategy is tailored to workload complexity, business criticality, and long-term transformation goals, ensuring the best balance of speed, cost, and value.
How does EPAM ensure a smooth and low-risk cutover to the cloud?
EPAM uses proven cutover approaches like blue/green deployments, canary releases, and phased rollouts. These methods allow teams to test systems in production-like environments, reduce downtime, and maintain operational continuity during the switch to cloud platforms.
How does EPAM modernize legacy systems during migration?
What role does governance and optimization play in EPAM’s migration process?
How does EPAM handle data lineage during cloud migration?
Still have questions or not sure what to select?
Success Stories in Details
Modern Analytics Platform in Azure Cloud
Objectives and Goals
The client sought to migrate their UK Analytics platform to Azure Cloud to modernize their data ecosystem and reduce reliance on legacy technologies. Their infrastructure included DB2, Informatica, Microstrategy, SQL Server, SSIS, SSAS, and SSRS. The goal was to transition to a scalable, cloud-based solution while maintaining analytics capabilities and minimizing business disruption.
How We Delivered
Using migVisor tools, we conducted an in-depth assessment to define and streamline the migration scope, which included 150 Informatica workflows, 1,200 SQL procedures, 1,000 DB2 tables, and over 2,000 Microstrategy reports. Instead of directly migrating all reports, we implemented a Self-Service Analytics framework, redesigning Microstrategy reports and Informatica ETL processes into Data Products using migVisor's data lineage mappings. MigVisor tools also enabled impact analysis and dependency mapping for smarter transformation decisions. Informatica workflows were converted to Python and Snowflake SQL, while the DB2 data warehouse and OLAP cubes migrated into Snowflake as tables and views.
Automation and Optimization Highlights
The project was delivered on time and within budget with key results: a 30% reduction of the initial migration scope, enabling faster delivery and cost savings. Legacy technologies were fully decommissioned, driving significant license cost optimization. Automation powered by migVisor reduced migration time by 30% through automated workflow and SQL logic conversion while ensuring quality. migVisor Reconciler automated User Acceptance Testing (UAT), streamlining data validation and ensuring a smooth production transition.
Supply Chain Data Platform Modernization
Objectives and Goals
The client aimed to modernize their Supply Chain planning platform by moving away from an Exadata-based backend and upgrading their data warehouse. The goals included aligning with broader business initiatives, evaluating the benefits of a modern platform, reducing long-term costs, and defining a clear migration strategy. The existing system contained 11 databases, over 6,600 Exadata objects, more than 5,000 tables and views, 490 stored procedures, 1,657 Informatica ETL flows, 280 jobs, and 9.3 TB of historical data, illustrating the scale and complexity of the migration.
How We Delivered
In collaboration with Databricks and Microsoft, EPAM developed a customized migration strategy using the migVisor Suite. We thoroughly scanned all Exadata assets — comprising tables, procedures, ETL flows, and jobs to understand structure, assess complexity, and identify dependencies. Based on the outputs, we designed and delivered a Minimum Viable Product (MVP) on Azure Databricks, successfully migrating 9.3 TB of historical data and validating the new architecture with real workloads.
Automation and Optimization Highlights
By utilizing migVisor, we significantly reduced manual effort and enhanced planning accuracy. The platform scanned over 6,600 database objects, 1,657 ETL flows, and hundreds of dependent jobs to identify complexity and interdependencies. With this, we prioritized workloads and created a focused migration plan. The team proposed a unified Databricks Data Warehouse and outlined an 18-month strategy targeting 60% of Exadata objects and 33% of ETL flows. Additionally, migVisor helped estimate effort and costs, ensuring transparency and predictability throughout the process.
Data Platform Migration MVP
Scalable Data Platform on AWS Redshift
Objectives and Goals
The client sought to transition their data platform from Exasol to AWS to enhance performance, scalability, and integration with modern cloud services. The migration focused on moving the fast-serving data layer to AWS Redshift, adopting AWS Airflow (MWAA) for workflow orchestration, upgrading to Databricks Unity Catalog, and improving onboarding and developer experiences. This required a comprehensive understanding of data structures, object relationships, reports, and automation to ensure a seamless, low-risk transition.
How We Delivered
EPAM leveraged migVisor’s automated assessment tools to analyze the Exasol environment and guide the migration. Automated scanning, dependency mapping, and object profiling provided insights to design the target architecture. Based on these findings, EPAM migrated ingestion and transformation processes to AWS Redshift, redirected BI reports to the new access layer, and implemented data replication to maintain consistency. migVisor also enabled post-migration reconciliation to validate data integrity and ensure a smooth cutover.
Automation and Optimization Highlights
EPAM leveraged migVisor’s automated assessment tools to analyze the Exasol environment and guide the migration. Automated scanning, dependency mapping, and object profiling provided insights to design the target architecture. Based on these findings, EPAM migrated ingestion and transformation processes to AWS Redshift, redirected BI reports to the new access layer, and implemented data replication to maintain consistency. migVisor also enabled post-migration reconciliation to validate data integrity and ensure a smooth cutover.
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EPAM is a trusted partner who helped us to innovate in the digital world by engaging customers using social media platforms. I highly recommend their work not only for their professional and processed orientated approach, but also for their mindset to understand our marketing needs and their deep knowledge of the digital environment.
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I am very impressed with the way EPAM made this happen, despite the many hurdles - and the proactive way EPAM came up with alternative solutions to address those hurdles.
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Executive Director, Commercial Innovation Leader @ MSD
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