Infosys Database Migration Offerings, powered by the Infosys Modernization Suite, part of Infosys Cobalt, help migrate databases to proprietary, open source and cloud native databases on AWS. We support homogenous migrations such as Microsoft SQL Server to Microsoft SQL Server, heterogeneous migrations across RDBMS such as Microsoft SQL Server or Oracle to Amazon Aurora or RDS PostgreSQL, and modernization of RDBMS to NoSQL databases like Amazon DynamoDB.

We support leading AWS database services like:

  • Amazon Relational Database Service (RDS) – Managed relational database in the cloud, supporting six familiar database engines including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and SQL Server.
  • Amazon Aurora - MySQL and PostgreSQL-compatible relational database built for the cloud.
  • Amazon DynamoDB – Fully managed, serverless NoSQL database that supports key-value and document data models.
  • AWS DMS (Database Migration Service) - Migrates data from source database to target database in AWS, supporting both one-time data migration as well as continuous data replication.

Our offerings span the end-to-end database migration journey, including assessment, schema conversion, code conversion, data migration and testing.

Using the Infosys Database Migration Platform, part of Infosys Modernization Suite, we bring hyper-automation to every stage of migration. The platform provides an integrated workbench that can be used by multiple agile teams working in parallel, and an integrated dashboard for the program managers to get a live view of the progress made by each team. Platform features include:

  • Automated Assessment – A tool-based assessment to determine the feasibility of migrating the existing portfolio of databases to Amazon RDS or Amazon Aurora. It also helps prioritize the databases based on the complexity and feasibility of migration.
  • Impact Analysis – Automated analysis to identify the changes required to make the schema, data and code compatible with the target database service. This drives the schedule and effort estimates for the actual migration.
  • Schema and Code Conversion – Automated and assisted conversion of the schema and associated code (stored procedures, functions, packages, etc.) using Infosys ML-based conversion along with tools like AWS Schema Conversion Tool (SCT).
  • Data Migration – Seamless migration of large volumes of data complementing AWS services like AWS DMS and AWS Snowball.
  • Automated Data and Regression Testing – Automated testing of outputs of procedures, functions, packages etc. post migration gives up to 40% reduction in data testing effort and ensures completeness and accuracy of data migration. The testing can be repeated on data loaded in increments as part of a migration.
  • Data Masking - Enables testing with live data in lower environments while not compromising on security and privacy requirements.

Infosys Modernization Suite manages the complete life cycle activities of database and data migration with end-to-end automation


Key benefits of Infosys Database Modernization Offerings:

  • Integrated workbench for all phases including assessment, schema conversion, code conversion, data migration and testing
  • Automates up to 60% conversion of the schema and associated code
  • Supports agile execution with multiple pods/scrum teams working in parallel for migrating a portfolio of databases

Challenges & Solutions

We manage the complete life cycle activities of database and data migration with end-to-end automation. Infosys Modernization Suite’s high degree of automation enables rapid migrations with reduced efforts. The platform supports simultaneous parallel activities by multiple agile pods reducing the overall time required to migrate the portfolio.

Infosys Modernization Suite supports multiple conversion engines based on the complexity of the code involved including AWS SCT and Infosys ML-based conversion that goes beyond the usual conversions to provide automated code migration for complex cases.

Infosys Modernization Suite helps in right-sizing the infrastructure and automates environment provisioning using AWS CloudFormation and Terraform for AWS database services.