Project Overview
Developed a real-time synchronization system to keep data consistent between Airtable and MongoDB. The solution enables flexible field mapping, automated syncing, and high data accuracy with minimal latency.
Challenges
- Data stored across Airtable and MongoDB needed to remain consistent in real
time.
- Frequent schema or field updates required a flexible configuration approach
without modifying core logic
- Handling simultaneous updates from both platforms required precise conflict
resolution
- Synchronization needed to be efficient, updating only modified or newly added
records
Solutions
- Dynamic Configuration System: Created a user-configurable mapping layer to
associate Airtable tables with MongoDB collections, allowing runtime
addition/removal of fields and structures without code changes.
- Time-Based Synchronization Tracking: Implemented timestamp-based record
tracking to identify only new or updated data, reducing overhead and ensuring
efficient synchronization cycles.
- Field-Level Conflict Resolution: Designed a priority mechanism using precise
update timestamps to determine the latest and most accurate data across both
systems, ensuring consistency even in concurrent update scenarios.
- Scalable Automation Workflow: Ensured continuous background sync with low
latency and minimal resource usage.
Technology Used
- Programming Language:Python
- Database:MongoDB
- Integration Platform:Airtable API
- Libraries:PyMongo, Airtable Python Wrapper
