mLogica vs. 3X Code Conversion

3X Code Conversion

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What is mLogica?

mLogica is recognized as a leading firm in enterprise modernization, specializing in cloud migration, big data analytics, and IT transformation. This organization provides automated solutions aimed at modernizing databases and applications, allowing businesses to upgrade their outdated systems to the cloud both effectively and cost-efficiently. One of its key products is CAP*M, a platform tailored for complex event analytics, while LIBER*M focuses on facilitating mainframe modernization, and STAR*M is designed for upgrading distributed workloads. Beyond these offerings, mLogica also provides managed services that encompass database optimization, consulting, and cybersecurity, enabling companies to grow securely while maximizing their performance. With a strong emphasis on innovation and operational efficiency, mLogica equips businesses to smoothly embark on their digital transformation journeys, ultimately enhancing their competitiveness in the market. As organizations increasingly seek to adapt to the rapidly changing technological landscape, mLogica remains dedicated to supporting them every step of the way.

What is 3X Code Conversion?

3X Code Conversion is an AI-augmented data engineering accelerator that helps enterprises convert legacy SQL, ETL, stored procedures, and platform-specific code into modern cloud data platform code. The accelerator is built for large-scale migrations where manual rewriting can take months, consume scarce engineering talent, and introduce inconsistent quality. It supports source platforms such as Teradata, Oracle, Netezza, SQL Server, MySQL, PostgreSQL, and Redshift, including dialects and workloads such as BTEQ, PL/SQL, NZPLSQL, T-SQL, SSIS, FastLoad, macros, views, and stored procedures. It supports target environments such as Snowflake, Databricks, BigQuery, Microsoft Fabric, Synapse, Delta Lake, Snowpark, Fabric T-SQL, and Spark. 3X Code Conversion starts by ingesting and parsing the legacy codebase, then performs complexity scoring, dependency analysis, risk classification, agentic conversion, automated refactoring, and built-in validation. Its deep code understanding helps preserve business logic that is often buried in undocumented procedures and old ETL scripts. The platform generates target-native code instead of producing a literal copy of legacy syntax. Automated testing verifies row counts, column mappings, data types, null handling, join logic, and regression behavior to catch errors before deployment. Developer guidance identifies partial conversions, failed checks, exact lines, root causes, and recommended fixes so engineers can focus on known issues instead of reverse engineering everything manually. Deliverables can include fully converted production-ready code, partially converted code with action items, validation reports, standardized formatting, comments, migration summaries, documentation, and AI-assisted code review outputs.