Sold by: MLOGICA
Deployed on AWS
Accelerate legacy distributed workload modernization with mLogica STAR*M, an AI-Powered + Deterministic modernization suite built to migrate, refactor, and validate legacy databases, applications, and middleware for AWS cloud-native environments with precision, governance, and lower execution risk. Whether moving from Teradata, Sybase, Informix, Oracle, SQL Server, CockroachDB, Db2, Netezza, Ingres, MySQL, MongoDB, Snowflake, or other distributed platforms, STAR*M combines domain-specific automation, deterministic transformation rules, and expert-led delivery to produce repeatable, auditable outcomes. The result is faster time to value, reduced uncertainty, and a safer path to AWS.
Overview
Move Legacy Workloads to AWS, Smarter, Faster, Safer Legacy distributed systems constrain scalability, analytics, resilience, and operational agility. STAR*M turns that constraint into a modernization pathway by automating assessment, conversion, remediation, refactoring, testing, and migration execution across complex enterprise estates.
Unlike generic AI tools that can produce inconsistent outputs, STAR*M applies AI acceleration through governed, deterministic pipelines designed for predictable transformation. Enterprises can modernize critical workloads while preserving business logic, reducing manual rework, and improving confidence before cutover. Leverage Governed AI and Deterministic Automation Manual migrations are slow, error-prone, and difficult to validate at enterprise scale.
mLogica STAR*M automation suite replaces repetitive manual conversion with AI-assisted analysis, rules-driven transformation, automated remediation, and validation workflows that improve repeatability and reduce delivery risk. It is built for complex, mission-critical modernization, where accuracy, traceability, and continuity matter. Its automation framework applies transformation logic consistently across migration waves and supports phased modernization without disruptive big-bang cutover.
Automation: Reduce Risk, Cost, and Rework Built on decades of modernization experience, automation suite combines machine learning, deterministic automation, domain rules, and proven methodologies to handle large-scale database and application modernization programs. As legacy platforms age, costs rise and specialized skills become harder to retain. STAR*M provides a governed path to AWS that reduces technical debt while supporting continuity. Strategizing Your AWS Migration mLogica automation suite supports phased and end-to-end migration strategies, allowing enterprises to modernize at the pace required by business, regulatory, and budget constraints. mLogica designs modernization roadmaps that reduce risk, maximize ROI, and leverage AWS scalability, security, analytics, and AI services.
Supporting Source Databases: Oracle, SQL Server, Db2, Sybase, Teradata, Netezza, Informix, MySQL, CockroachDB, Ingres, Snowflake, MongoDB and more. STAR*M gives enterprises a unified platform to accelerate database migration, streamline application remediation, validate outcomes, and achieve secure, future-ready AWS modernization with lower risk and stronger governance.
Highlights
- AI-driven, end-to-end modernization delivering accelerated, high-accuracy migrations, up to 3 times faster at 50% lower cost, with a continuously learning engine that enhances precision across analysis, conversion, testing, and deployment, while providing cloud agility and scalability on AWS and Postgres, all with minimal risk and disruption.
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STAR*M User Guide: https://mlogica-marketplace-offers.s3.us-east-1.amazonaws.com/STAR-M+User+Guide.pdf
STAR*M Deployment Guide: https://mlogica-marketplace-offers.s3.us-east-1.amazonaws.com/STAR-M+Deployment+Guide.pdf
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