High Performance
Scalable Architecture
Customizable Solutions
Snowflake to Salesforce
A healthcare customer stored large volumes of historical and analytical data in Snowflake. They wanted to surface that data within Salesforce—to enhance care management, reporting, and patient engagement—while ensuring continuous availability through Kafka.
How Yell Technologies enabled a healthcare client to integrate historical data from Snowflake into Salesforce with MuleSoft and Kafka for high availability.
Challenges
- Disparate systems: Valuable historical health and patient data in Snowflake was not accessible in Salesforce.
- High availability needs: The healthcare domain required resilient data pipelines with zero downtime.
- Monitoring compliance: Any data integration needed to meet strict healthcare compliance and auditability standards.
Solution
Yell Technologies architected a hybrid event-driven integration using MuleSoft and Kafka:
- Snowflake → Salesforce Integration APIs • Built MuleSoft APIs to extract data from Snowflake (via JDBC/Connector) and load it into Salesforce. • Designed transformations to map data into Salesforce objects (e.g., Patient, Encounter, Clinical History).
- Kafka for High Availability • Used Kafka as a buffering layer between Snowflake and Salesforce, enabling event-driven, fault-tolerant processing • Ensured message durability, retries, and scalable throughput—critical for healthcare SLAs.
- Deployment Architecture • Deployed the MuleSoft flows on Anypoint Platform, ensuring secure, scalable handling of streaming data. • Implemented monitoring, alerting, and data replay mechanisms for compliance.
Why Yell Technologies’s Approach Worked
- Event-driven resilience: Kafka decouples Snowflake and Salesforce systems, allowing durable, replayable events in case of downstream failures
- API-led connectivity: Modular MuleSoft APIs facilitated clear, maintainable flows and simplified onboarding of new data domains.
- Compliance-ready design: Full audit trails and monitoring empowered healthcare teams to meet regulatory standards
Results
- Real-time + historical data access: Salesforce now provides both historical and current patient data.
- High availability guaranteed: Kafka-layer ensures zero data loss and seamless failover.
- Scalable architecture: The solution supports future data sharing (e.g., analytics, machine learning, partner portals).
- Improved care outcomes: Clinicians gain richer, timely insights directly within Salesforce, improving patient decision-making.
Conclusion
Yell Technologies empowered the healthcare customer with a robust, event-driven data center integration solution—bridging Snowflake and Salesforce via MuleSoft and Kafka. The result: secure, high-availability data flow with compliance, scalability, and operational resilience.