Scaling is very high – there's no problem for scaling purposes. The learning curve is very small. And there are a lot of advanced features like handling duplicates, security, data governance, data sharing, and data cloning.
Snowflake Analytics offers auto-scaling, handling data concurrency seamlessly. Its cloud-based architecture supports large datasets, featuring time travel and data-sharing for enhanced analytics. While deploying quickly with system integration, it efficiently runs complex workloads with predictive analytics. However, data migration from legacy systems faces processor compatibility issues. Built-in analytics and machine learning integration are needed, alongside cost optimizations. Limited on-premises support requires external services for deployment customization.
