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    DataFury for Public Sector: GenAI-Powered Cloud Database & App Migration

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    Enable secure and cost-effective database and application migrations across leading cloud environments with DataFury—an advanced, GenAI-powered platform that uses end-to-end automation, standardized SQL conversion, and AI-powered validation to minimize manual effort, reduce costs, and accelerate timelines. Federal, state, and local agencies can benefit from streamlined migrations, strong data integrity, and scalable, future-ready solutions with minimal disruption.

    Overview

    DataFury is an advanced, GenAI-powered automation platform designed to accelerate and simplify database and application migrations to cloud environments such as Amazon Web Services (AWS) for government agencies. By combining end-to-end intelligent automation with advanced validation and robust security, DataFury helps organizations transform legacy databases and applications for the cloud—reducing manual effort, cost, and risk.

    DataFury is designed to integrate with and support migrations to AWS services including Amazon RDS and Amazon Aurora. It streamlines the database migration journey from on-premises legacy platforms to AWS cloud, driving efficiency and modernization while leveraging native AWS security and compliance features.

    Advanced Features:

    • GenAI-Powered Automation: Automates the migration life cycle, including discovery, schema conversion, data transfer, and validation—using cutting-edge generative AI algorithms for smarter code transformation and accuracy.
    • Comprehensive Platform Support: Supports effective migrations from traditional databases such as Oracle, SQL Server, and DB2 LUW to cloud-native targets including AWS RDS, Aurora PostgreSQL, and Azure SQL.
    • Standards-Based Approach: Converts proprietary SQL to ANSI-SQL standards, leveraging cross-platform compatibility and reducing vendor lock-in.
    • Three-Point Validation: Employs three levels of migration validation (schema, row-count, and data) to maximize accuracy, minimize disruptions, and confirm data integrity in the target environment.
    • Application Code Modernization: Transforms legacy PL/SQL or T-SQL code, automating and validating changes for compatibility with modern clouds.
    • Continuous Enhancements: Frequently updated to support emerging use cases such as orchestration, schema drift handling, GenAI-driven insights, and migration observability.

    Key Benefits:

    • Faster Time-to-Cloud: Reduces end-to-end migration timelines by up to 40%, accelerating transformation initiatives and time-to-value.
    • Cost Efficiency and Automation: Relieves the need for extensive manual scripting, troubleshooting, and validation, allowing teams to focus on higher-value activities.
    • Reduced Risk and Disruption: Intelligent validation and automated rollback capabilities provide confidence in migration outcomes while protecting business continuity.
    • Scalable for Complex Environments: Handles single-database projects to large-scale, multi-application migrations, supporting both lift-and-shift and modernization scenarios.

    Highlights

    • GenAI powered end-to-end automation: automates discovery, schema conversion, data migration, and validation for any-to-any database migrations (e.g., Oracle to Postgres, SQL Server to Aurora), reducing manual effort, cutting errors, and accelerating time to cloud.
    • Comprehensive code SQL modernization: converts proprietary SQL and refactors PL/SQL/TSQL to ANSISQL, enabling effective migrations across Oracle, SQL Server, DB2, MySQL, PostgreSQL, Aurora and other targets while minimizing vendor lock in.
    • Robust validation and query transformation: performs schema, row count, and logic checks and validates transformed queries to confirm data integrity, production readiness, and lower cutover risk in heterogeneous any-to-any migration scenarios.

    Details

    Delivery method

    Deployed on AWS
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