Data Migration Use Case

Enterprise Data Migration Powered by AI

What is AI-powered data migration?

AI-powered data migration uses intelligent agents to automate the entire migration lifecycle from discovery and profiling to mapping, transformation, and validation, reducing manual effort by 60% while ensuring 100% data accuracy and zero downtime.

Migrate databases, applications, and entire data centers with confidence using AI agents that handle profiling, mapping, transformation, and validation automatically.

Why Choose AI for Data Migration?

Traditional migration approaches are slow, error-prone, and resource-intensive. AI changes everything.

60% Faster Migrations

AI agents work in parallel to automate profiling, mapping, and validation, completing migrations in weeks instead of months.

100% Data Accuracy

Automated validation and reconciliation at every stage ensures zero data loss and complete accuracy across all records.

Zero Downtime

Live migration capabilities with automated rollback ensure business continuity throughout the entire process.

Real-time Monitoring

Live dashboards provide instant visibility into migration progress, data quality metrics, and potential issues.

Intelligent Mapping

AI automatically maps source to target schemas, understanding complex relationships and suggesting optimal transformations.

Any Source to Any Target

Migrate between any databases, cloud platforms, or data warehouses with unified AI-powered automation.

AI-Powered Migration Process

Our intelligent agents handle every phase of your migration automatically

1

Discovery & Profiling

1-2 days

AI agents automatically discover and profile source data, identifying schemas, relationships, data types, and quality issues.

2

Schema Mapping

2-3 days

Intelligent mapping engine analyzes source and target schemas, suggesting optimal mappings and transformations with 95% accuracy.

3

Data Transformation

1 week

Automated transformation rules handle data type conversions, business logic, and data cleansing based on AI recommendations.

4

Migration Execution

2-4 weeks

Parallel processing engines migrate data with real-time validation, error handling, and automatic retry mechanisms.

5

Validation & Reconciliation

3-5 days

Comprehensive validation compares source and target data at row and column level, ensuring 100% accuracy and completeness.

Common Migration Scenarios

AI-powered migration works for any data movement scenario

Cloud Migration

Move on-premises databases to AWS, Azure, or GCP with automated schema conversion and data validation.

Oracle to Aurora
SQL Server to Azure SQL
DB2 to BigQuery

Platform Modernization

Upgrade legacy systems to modern platforms while maintaining business continuity and data integrity.

Mainframe to Cloud
Legacy ERP to SaaS
Monolith to Microservices

Data Warehouse Migration

Migrate data warehouses to modern cloud platforms with optimized schemas and performance tuning.

Teradata to Snowflake
Oracle DW to Redshift
On-prem to Databricks

Application Migration

Move application data during system upgrades, mergers, or platform changes with zero data loss.

CRM Migration
ERP Consolidation
System Decommissioning

Ready to Accelerate Your Migration?

Join enterprises that have reduced migration time by 60% and costs by 70% with AI automation