Snowflake SnowPro Certification Practice Test 2025 – All-in-One Guide to Master Your Certification!

One of the significant advantages of Snowflake over Hadoop is its automatic failover and disaster recovery capabilities. Snowflake is designed as a cloud-native solution, which inherently provides redundancy and high availability. This means that in the event of a failure, Snowflake can automatically redirect operations to backup resources without any significant downtime or manual intervention.

This characteristic not only enhances data resilience but also ensures that business operations can continue smoothly, as the system manages these failover processes seamlessly in the background. In contrast, managing disaster recovery in a Hadoop environment often requires more manual setup and intervention, along with substantial configuration to ensure that backups are reliable and recoverable.

While managing hardware, support for unstructured data, and reliance on complex coding are aspects related to different data processing frameworks, they do not highlight the robustness of Snowflake's architecture in terms of resilience and automation as effectively as the automatic failover and disaster recovery feature does.