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 from MongoDB to a relational database without data loss or downtime.
- 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 analysed the existing MongoDB data, its structure and relationships, and selected PostgreSQL as the target database because it met the client’s requirements for transactions, integrity and querying.
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
The migration ran in three steps: extract MongoDB data in batches with consistency checks at each step, transform it to the new schema, and load it into PostgreSQL.
- 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.
