Data-intensive applications require a modern data architecture to meet customer expectations. That’s why fast-growing startups are turning to modern data platforms. Many software companies that originally launched applications on legacy data stacks may now be considering migrating to the cloud to overcome growing pains. Others may be considering building apps on Snowflake’s platform from the start to address those challenges.
This guide describes five of the most common use cases for startup companies building data applications, and how Snowflake addresses the key challenges they face when building such applications:
- Customer 360
- Application health and security analytics
- Machine learning (ML) and data science
- Embedded analytics