Sprinter - Cloud Data Migration: 4-Wk Implementation

Tech Mahindra Limited

Sprinter as a Data Migration go to platform for customer, which bring automation and best practices to accelerate data migration journey from legacy database into modern cloud database.

Sprinter data migration go to platform comes withsimplified, intuitive, multi-tenant, multi-features web application helps to automate the Analysis, Planning, Development, Testing, Monitoring Tracking of data migration life cycles. This solution helps to increase the efficiency and accuracy of data migration initiative using the power of Cloud native tools and services:

  • Codebase conversion work using language tool.
  • Pluggable cloud native data ingestion tool
  • Azure DataLake storage for migrating data
  • Azure Power BI for dashboarding

Overall Sprinter helps to reducing the migration effort more than 40%. Sprinter data migration comes with 6 modules including Discovery, Schema Migration, SQL Migration, Data Migration, Data Validation, Track & Monitoring automated.

  1. Discovery module helps to audit and analyze the source database and it’s details.
  2. Schema migration module helps to migrate the underlying DB and it’s object from source format into designated target database
  3. SQL migration modules help to migrate the DML, Procedures, Functions, Views, Packages from native form of the source database into equivalent native form of the target database.
  4. Data migration helps to migrate the data in multiple stages,
  5. Data validation is the one of the critical features, which helps to automate the pre-migration, post-migration, and reconciliation process without writing single line of code
  6. Tracking Monitoring provide tracking and monitoring facility to observe the cloud database audit, utilization, and capability assessment.

Business challenges

The following challenges lead to Data migration initiative.

  • Including server or storage equipment replacements
  • Maintenance or upgrades
  • Application migration
  • Website consolidation
  • Disaster recovery
  • Data center relocation
  • Cloud adaption
  • Scalability
  • Data model complexity
  • Data volume growth
  • Modernization


  • The following benefits can be achieve compared to manual migration processes,
  • Reduces>40% of data migration efforts, times & costs
  • Flexible deployment on cloud or on-prem or hybrid
  • Automated the field mapping between source and target DBs, tables and columns
  • Centralized tracking for target DB usage audit
  • Template driven output generation helps to enable the DevOps process integration
  • Solution customizable to fit business requirements
  • Auditing the migration process in every stage using various reports
  • Fast-tracking cloud migration journey