Move Your Data with Confidence

Data migration is more than just moving bytes—it's about ensuring business continuity, data integrity, and unlocking new capabilities. Whether you're migrating to the cloud, modernizing legacy systems, or consolidating databases, we make it seamless.

Our proven migration methodology minimizes downtime, eliminates data loss, and ensures your data is not only moved but transformed for better performance and accessibility. With over 100 successful migrations, we've helped organizations across industries modernize their data infrastructure.

100+

Successful Migrations

Zero

Data Loss Incidents

99.9%

Uptime During Migration

50+

Data Sources Supported
Data Migration

Data Migration Capabilities

Comprehensive solutions for every migration need

Cloud Migration

Seamlessly move your on-premises data to AWS, Azure, or Google Cloud with minimal disruption.

  • Lift & Shift
  • Cloud-Native Transformation
  • Hybrid Architectures
  • Multi-Cloud Strategies

Database Migration

Migrate between database platforms (Oracle to PostgreSQL, SQL Server to MySQL, etc.) with schema conversion and data validation.

  • Homogeneous Migrations
  • Heterogeneous Migrations
  • Schema Conversion
  • Continuous Sync

Legacy System Migration

Extract data from mainframes, legacy systems, and obsolete formats, and modernize it for current platforms.

  • Mainframe Offloading
  • Legacy Data Extraction
  • Data Cleansing
  • Format Conversion

ETL & Data Integration

Extract, transform, and load data between systems with robust ETL pipelines and real-time integration.

  • Batch Processing
  • Real-Time Streaming
  • Data Transformation
  • API Integration

Data Quality & Cleansing

Ensure your migrated data is accurate, consistent, and clean with comprehensive data quality checks.

  • Deduplication
  • Data Validation
  • Anomaly Detection
  • Enrichment

Zero-Downtime Migration

Keep your business running during migration with strategies that eliminate or minimize downtime.

  • Blue-Green Deployment
  • Incremental Sync
  • Fallback Planning
  • Cutover Strategies

Industry Applications

Data migration across different sectors

Financial Services

  • Core banking migration
  • Regulatory data archiving
  • M&A data consolidation
  • Legacy system modernization

Healthcare

  • EHR/EMR migration
  • PACS data transfer
  • HIPAA-compliant migration
  • Health system consolidation

Retail

  • POS data migration
  • E-commerce platform migration
  • Customer data consolidation
  • Inventory system upgrade

Manufacturing

  • MES data migration
  • PLC data integration
  • Supply chain data migration
  • ERP modernization

Public Sector

  • Legacy government systems
  • Citizen data consolidation
  • Cloud adoption
  • Records digitization

Education

  • Student information systems
  • Learning management migration
  • Research data archiving
  • Alumni database consolidation

Our Migration Methodology

A proven, risk-mitigated approach

We follow a structured, phased methodology that ensures data integrity, minimizes disruption, and delivers successful outcomes every time.

Migration Methodology
1

Assessment & Discovery

We inventory your data sources, assess data quality, map dependencies, and define migration scope and success criteria.

2

Strategy & Architecture

We design the migration approach (big bang, phased, parallel), select tools, and create a detailed project plan.

3

Data Preparation & Cleansing

We clean, deduplicate, and transform data to ensure it's migration-ready, with validation rules and quality checks.

4

Migration Execution

We execute the migration in controlled phases, with continuous monitoring, validation, and fallback readiness.

5

Testing & Validation

We rigorously test migrated data for completeness, accuracy, and performance, involving business users in UAT.

6

Cutover & Hypercare

We execute the final cutover, decommission legacy systems, and provide intensive post-migration support.

Success Stories

Real results from our data migration projects

Banking

Core Banking Modernization

Migrated 20+ years of customer data from legacy mainframe to modern cloud-native core banking platform for a regional bank.

5TB Data Migrated
Zero Downtime
2M+ Accounts
Read Case Study
Healthcare

EHR Consolidation

Consolidated patient records from three separate hospital systems into a single Epic EHR instance post-merger.

8M+ Patient Records
100% Data Integrity
6mo Project Timeline
Read Case Study
Retail

E-commerce Platform Migration

Migrated product catalog, customer data, and order history from legacy on-prem system to cloud-based Shopify Plus.

500k+ Products
48h Cutover Window
99.9% Data Accuracy
Read Case Study

Tools & Technologies

Industry-leading migration tools and platforms

AWS DMS

Azure DMS

Google Cloud

Talend

Informatica

SSIS

Fivetran

Striim

Dell Boomi

MuleSoft

SnapLogic

Qlik

Ready to Move Your Data?

Let's discuss how our proven data migration methodology can help you modernize with confidence and zero disruption.

Frequently Asked Questions

Common questions about data migration

What is data migration?

Data migration is the process of transferring data from one storage system, format, or application to another. It involves extracting data from the source, transforming it if needed, and loading it into the target system.

How long does a data migration take?

Timelines vary based on data volume, complexity, and source systems. Small migrations may take weeks, while enterprise-scale projects can take several months. We provide detailed timelines during the assessment phase.

How do you ensure no data loss?

We use multiple validation techniques: row counts, checksums, sample comparisons, and reconciliation reports. We also maintain fallback procedures and full backups to ensure data can be restored if needed.

Can you migrate data while systems are live?

Yes, we specialize in zero-downtime migrations using techniques like change data capture (CDC), replication, and phased cutovers. Your business can continue operating normally during migration.

What happens to legacy systems after migration?

We help you decommission legacy systems after successful migration and validation. We also provide data archiving strategies if you need to retain historical data for compliance.

How do you handle data transformations?

We map source data to target schemas, apply business rules, and perform necessary transformations during the ETL process. All transformations are documented and validated with business users.