Client Overview
The client is a leading SaaS eCommerce platform operating in a highly competitive market. They had been using MongoDB as their primary database for several years. However, as their business grew and the complexity of their data increased, they faced challenges in handling data relationships, conducting complex queries, and ensuring scalability. To address these issues, they decided to migrate from MongoDB to an RDBMS.
Problem
The goal was to enhance data structure and query capabilities while maintaining data integrity and system performance.
Project Objectives:
- Migrate data seamlessly from MongoDB to an RDBMS.
- Preserve data integrity during the migration process.
- Improve data query and reporting capabilities.
- Enhance scalability and performance.
- Minimize downtime and user disruption during migration.
Solution
The solution involved migrating from MongoDB to PostgreSQL, an RDBMS that offered enhanced data structure and query capabilities. The migration process encompassed data analysis, schema design, ETL, rigorous testing, and careful deployment planning. Security measures and performance optimization were also integral parts of the solution.
Migration Process
- Assessment and Planning
Gart performed a comprehensive analysis of the existing MongoDB data to understand its structure and relationships. After careful evaluation, we selected PostgreSQL as the RDBMS due to its robust features and compatibility with the client’s requirements.
A mapping strategy was developed to transform MongoDB’s NoSQL data into a relational format.
- Schema Design
We designed a relational database schema that accommodated the complex relationships present in the MongoDB data.
- Data Migration
We carried out a structured data migration process, starting with the extraction of MongoDB data in batches while ensuring data consistency at every step. Next, we took great care in meticulously transforming the extracted data to harmonize with the newly designed schema structure. Finally, we seamlessly loaded the transformed data into the PostgreSQL database, resulting in a smooth and successful transition.
- Testing and Validation
Extensive testing was conducted to validate data accuracy and completeness. Performance testing ensured that the new system met or exceeded the client’s performance expectations.
- Deployment
The migration was scheduled during a low-traffic period to minimize user disruption. A rollback plan was in place, but it was not needed due to the successful migration.
