mLogica Thought Leaders: Real-World Snapshots of 3 Successful Migrations

Cloud migration is accelerating at an unprecedented pace. Businesses across industries are embracing cloud platforms to drive growth and sustainability. A critical component of this transformation is database migrations, as more companies seek to unlock the potential of their data. To fully capitalize on the insights buried within legacy database systems, an increasing number of enterprises are jumping on the cloud as a strategic business move.

Legacy databases have been a critical part of many enterprises for years, but maintaining these aging systems has become increasingly challenging. These systems often suffer from high latency, slow response time, and limited scalability, hindering digital transformation efforts and innovation. Migrating to a cloud-based PostgreSQL platform offers a compelling solution by providing enhanced performance, scalability and cost-efficiency.

mLogica offers comprehensive database migration solutions to help organizations accelerate their digital transformation journeys. Our flagship solution for distributed dataset migrations, STAR*M Modernization, combines advanced, AI-powered automation, industry expertise, and proven methodologies to streamline the assessment, analysis, schema conversion, and testing/validation processes, reducing time and costs by up to a significant percentage. Compared to traditional approaches, STAR*M delivers unmatched speed and accuracy.

Automated Tools: STAR*M uses advanced automation to accelerate complex and time-consuming code conversion processes. Our solution automates the transition of intricate platforms, including schema mapping/conversion, data mapping/conversion, and testing/validation. STAR*M facilitates faster, simpler, and more cost-effective migration by reducing the complexities and risks associated with legacy technologies.

Proven Methodologies: mLogica’s automation methodologies are refined through years of experience working with diverse enterprises, large and small. This expertise allows us to optimize resources, mitigate risks, and deliver results within the specified timeframe and budget. Our modernization factory approach is designed for enterprise-level, mission-critical projects that require software and methodology that address complex environments. STAR*M applies proven and repeatable methodologies across all phases, from assessment to deployment, ensuring alignment with customer requirements and adherence to timelines and costs.

Industry Experience: mLogica has a rich history in legacy modernization and has successfully completed over 600 large-scale projects for Fortune 1000 companies across different industries and continents. Our unparalleled experience has enabled us to develop STAR*M and address the unique challenges of each client, tailoring our solutions accordingly.

Our successful modernization projects speak for themselves. Here are 3 snapshots of migration success stories.

Database Migration from Db2 to PostgreSQL

A leading provider of cloud-based automation technology sought to modernize its legacy Db2 databases and applications by moving to PostgreSQL on the cloud. The goal was to enhance scalability, agility, and performance.

mLogica's role was pivotal in the client’s digital transformation initiative by successfully migrating Db2 databases to PostgreSQL. Our team refactored legacy code and executed comprehensive unit testing to meet performance benchmarks. In addition, our team converted and remediated SQLs to ensure compatibility with the PostgreSQL environment. The project resulted in improved database and application performance, accelerated workflows, and reduced costs.

Portfolio Assessment and Cloud Migration Roadmap

A major telecom service provider aimed to enhance overall system performance through a re-architecture initiative. This project required digital transformation of the company’s existing inventory portfolio and migration of its legacy database environment to a PostgreSQL cloud-managed database service.

STAR*M was instrumental in the project’s success. Our migration team leveraged the tool to gain a deep understanding of the client’s databases and applications, identifying dependencies, criticalities, and risk factors. Based on these insights, we developed a comprehensive roadmap outlining potential challenges and opportunities, enabling the organization to implement a seamless migration and achieve its re-architecture goals.

System Analysis to Support Database Migration from Sybase to PostgreSQL

Due to limited scalability and cost challenges, a global healthcare company wanted to migrate its Sybase database system. The company’s goal was to migrate its Sybase environment to a cloud-based PostgreSQL database service, which required a thorough assessment of its legacy Sybase infrastructure.

mLogica conducted a comprehensive analysis of the company’s technology stack, including databases, operating systems, licensed features, applications, and interfaces. By understanding the organization’s technology landscape and challenges, we developed a tailored migration roadmap to support an uninterrupted transition to PostgreSQL. The project significantly achieved the company’s digital transformation and modernization objectives.

Database migration and cloud migration are essential for organizations seeking to modernize their legacy systems. mLogica’s automated solution, STAR*M, combined with proven methodologies and extensive experience, has helped numerous enterprises successfully embark on their digital transformation journey. Our success stories demonstrate our ability to migrate complex legacy distributed database environments and deliver exceptional business value through automation and expertise.