Data-intensive applications require a modern data architecture to meet customer expectations. That’s why fast-growing software companies are turning to cloud data platforms. Although some application builders originally launched applications on a legacy data stack, many have now migrated to the cloud to overcome growing pains. Others are building apps on Snowflake Cloud Data Platform from the start because they are aware that it helps address the biggest challenges in building highly performant data applications.
This guide describes five of the most common Snowflake data application use cases and how Snowflake addresses the key challenges that builders of such applications face:
- Customer 360
- Application health and security analytics
- Machine learning (ML) and data science
- Embedded analytics