Embedded SQL Modernization for a Local Government Software Organization, Spatial Data Logic (SDL)
Modernization to Cloud SQL for MySQL on Google Cloud Platform
Industry: Government Software Solutions
Headquarters: United States
Coverage: Local U.S. Government Agencies
Client Background
Spatial Data Logic (SDL) is a leading software provider serving local governments with powerful, user-friendly solutions that streamline municipal operations, enhance citizen services, and improve data-driven decision-making. Their platform modernizes workflows for public sector departments, enabling greater efficiency, transparency, and community engagement.
However, the client’s core applications relied on legacy code and embedded SQL statements tied to Microsoft SQL Server, an architecture that restricted agility, scalability, and cloud adoption.
Business Challenge
To improve performance, reduce operational overhead, and leverage modern cloud capabilities, the client planned to migrate their Microsoft SQL Server–based applications to Google Cloud SQL for MySQL to implement a fully managed, secure, and scalable platform while reducing operational overhead.
The challenge:
- Thousands of embedded SQL statements were deeply intertwined within legacy application code.
- SQL complexity ranged from simple direct connections to deeply nested recursive queries.
- These SQLs required extraction, conversion, re-integration, and testing without disrupting live client operations.
- Modernizing this code manually would require massive engineering effort, high defect risk, and extended timelines.
- Ensuring functional equivalence on the new MySQL-based architecture is essential for a seamless transition.
The client needed a partner with deep modernization expertise and automated tooling capable of accelerating remediation without compromising quality
mLogica’s Approach
mLogica is engaged with a structured, automation-driven approach powered by the STAR*M automation suite, focusing on rapid and accurate conversion of SQL code.
Key steps included:
1. Pre-requisites & Setup
- Establishing secure access to source and target environments
- Finalizing the remediation scope
- Developing a detailed legacy application remediation plan
2. Automated Extraction & Conversion of Embedded SQL
- Analyzed and extracted SQL statements across thousands of legacy BAS, CLS, DSR, and FRM files
- Used STAR*M automation to convert SQL Server syntax to MySQL-optimized equivalents
- Remediated the converted SQL directly back into the legacy application code
3. Testing & Validation
- Performed unit testing of all converted SQL statements
- Ensured deployment alignment with Cloud SQL for MySQL database engine on Google Cloud Platform
- Supported the client through a 4-week testing cycle, including bug fixes and performance tuning
Solution
mLogica delivered a full remediation of the SDL’s legacy application layer, covering:
- A large number of embedded SQL statements were analyzed and processed
- Automated SQL conversion using STAR*M
- Application-level retrofitting and packaging
- Validation of functional equivalence between the legacy SQL Server environment and the new MySQL backend
- Time-bound support to ensure smooth customer testing and transition
Results & Impact
The engagement enabled SDL to fully modernize their legacy application tier and seamlessly transition toward a managed cloud database service, Cloud SQL for MySQL on Google Cloud.
Key outcomes:
- Accelerated modernization using automated tooling instead of manual re-engineering
- Defect-free SQL remediation validated through unit and customer testing
- Full compatibility with Cloud SQL for MySQL, enabling a future-ready SaaS architecture
- Reduced operational overhead through migration to a managed cloud database
- Improved scalability, reliability, and performance for mission-critical government applications
- Foundation for long-term modernization, security, and innovation on Google Cloud
“After evaluating multiple partners, we entrusted mLogica, whose automated tooling enabled seamless remediation of embedded SQLs in our MS SQL applications and delivered a defect-free, accelerated migration to Cloud SQL for MySQL on Google Cloud.”
— Javier Muniz, CEO, Spatial Data Logic
Accelerating Cloud Innovation Through Advanced Modernization
The modernization delivered by mLogica represents a pivotal advancement in the client’s digital transformation journey. This modernization project demonstrates how mLogica’s automation-driven approach dramatically reduces the complexity of legacy application upgrades.
By leveraging STAR*M technology, deep modernization methodologies and decades of experience, mLogica empowered the client to move from an aging application code/SQL Server architecture to a scalable, cloud-native MySQL solution efficiently, accurately, and with minimal disruption, thereby clearing a critical barrier to cloud adoption.
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