Overview
Devin can help migrate applications from NoSQL databases to SQL, handling schema design, data transformation, and query refactoring. Whether you’re moving from MongoDB to PostgreSQL or DynamoDB to MySQL, Devin can systematically convert your data models, migrate your data, and update your application code to work with relational databases.Why Migrate to SQL?
Data Integrity Benefits
- ACID compliance: Ensure data consistency with transactions
- Referential integrity: Enforce relationships with foreign keys
- Schema validation: Prevent invalid data at the database level
- Complex queries: Leverage powerful JOIN operations and aggregations
Operational Advantages
- Mature tooling: Access to decades of SQL optimization and monitoring tools
- Standardization: Use industry-standard SQL across different databases
- Better analytics: Simplified reporting and business intelligence integration
- Cost efficiency: Optimize storage with normalization and indexing
Common Migration Scenarios
MongoDB to PostgreSQL
- Convert document collections to normalized tables
- Transform embedded documents into related tables
- Migrate MongoDB queries to SQL with proper JOINs
- Implement indexes for query optimization
DynamoDB to MySQL
- Map partition keys and sort keys to primary keys
- Convert NoSQL access patterns to SQL queries
- Handle secondary indexes and global tables
- Migrate application code from AWS SDK to SQL drivers
Schema Design and Normalization
- Analyze NoSQL data structures and relationships
- Design normalized schemas following best practices
- Create migration scripts with data validation
- Implement proper constraints and indexes
Additional Resources
- PostgreSQL Documentation
- MySQL Documentation
- Devin Playbooks - Create reusable migration workflows
- Devin Knowledge - Store database-specific patterns