Data Governance/Data Engineering Manager at National Bank of Fujairah PJSC
Mar 6, 2024
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.
The Snowflake features I find most beneficial for data analysis are primarily related to analytics, particularly their features like materialized views and queues, which are especially useful for dashboarding purposes.
Technical Lead at a computer software company with 10,001+ employees
Feb 13, 2024
The most valuable features of Snowflake for our data analytics are its time travel capability, allowing easy data recovery, and its automatic optimization of partitioning and clustering.
Database administrator terdata at Genpact - Headstrong
May 29, 2022
The advanced features like time travel, zero copy cloning and scalability have been most useful. Snowflake requires zero maintenance for Data Warehousing on the cloud system.
Data Governance/Data Engineering Manager at National Bank of Fujairah PJSC
Mar 6, 2024
Machine learning in Snowflake isn't as advanced as in other products. I haven't heard of any successful industry-wide use cases of machine learning implemented in Snowflake. It might take a couple of years to reach the same level as Databricks.
The scheduling of jobs requires improvement, particularly in terms of the user interface which currently lacks certain features found in comparable platforms.
