Snowflake vs Databricks SQL Endpoint for Datawarehousing which is more persistent

[Shailu1]

Snowflake vs Databricks SQL Endpoint for Datawarehousing which is more persistent

[karthik_p · Accepted solution]

@Shailesh K V​ lot of things you need to consider, but main thing is within databricks there is no vendor lock like you want to use only aws cloud or gcp or azure. it supports multi cloud . do you execute only SQL queries / Dash boards , any data engineering task which involves spark then databricks is good.

this article has good insights , please check

https://www.fujitsu.com/au/imagesgig5/A%20Practitioners%20Guide%20to%20Databricks%20vs%20Snowflake.p...

[Anonymous]

Hi @Shailesh K V​ 

Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help. 

We'd love to hear from you.

Thanks!

[Pritesh2]

Databricks and Snowflake are both powerful platforms designed to address different aspects of data processing and analytics. Databricks shines in big data processing, machine learning, and AI workloads, while Snowflake excels in data warehousing, storage, and analytics. To make the best choice for your organization, it's crucial to consider your specific requirements, budget, and integration needs.