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Migration from MySQL to PostgreSQL
Migration from MySQL to PostgreSQL
Sumary
About the client
Unfortunately, under the terms of the non-disclosure agreement (NDA), we cannot disclose the name of the client company and specific features of the project. However, by mutual agreement, we are able to publicize the general provisions of the project and some key solutions. In the case of your cooperation with BeFund, all issues regarding the publicity of information will be discussed individually.
What`s the problem?
About situation:
The platform initially relied on MySQL/MariaDB, but growing business requirements created the need to move part of the data layer to PostgreSQL.
The migration had to be planned carefully because the system contained business-critical data, large tables, transactional logic, reporting queries, and integrations with backend services.
The goals of project:
Solution by BeFund
As the platform continued to grow, the existing MySQL/MariaDB infrastructure became a limiting factor for further development. Increasing data volumes, more complex reporting, and growing transactional workloads required a database platform capable of supporting future scalability without compromising reliability or business continuity.
Our engineers performed a comprehensive assessment of the existing database architecture, application dependencies, data flows, and SQL workloads before planning the migration. Every table, index, relationship, and business-critical query was analyzed to ensure a secure and predictable transition.
The migration strategy included schema analysis and preparation, data type mapping between MySQL and PostgreSQL, SQL query compatibility validation, index optimization, automated migration scripts, multiple test migrations, and comprehensive validation of business-critical data. Particular attention was paid to transactional consistency, reporting performance, filtering efficiency, and rollback planning to minimize operational risks.
Following the migration, the application was fully adapted to PostgreSQL, and all critical business scenarios were verified through functional and performance testing to ensure production readiness.
The new database layer provides a solid foundation for future product development, enabling more efficient analytical queries, improved transactional capabilities, and greater flexibility for evolving the platform architecture. The migration reduced long-term technical limitations while preparing the system for future scaling and more complex business requirements.
Outcome:
- Zero business data loss during migration
- Successful production deployment with validated business processes
- Improved analytical and transactional capabilities
- Enhanced query performance and indexing opportunities
- Strong foundation for future scalability and architectural evolution