cancel
Showing results for 
Search instead for 
Did you mean: 
Warehousing & Analytics
Engage in discussions on data warehousing, analytics, and BI solutions within the Databricks Community. Share insights, tips, and best practices for leveraging data for informed decision-making.
cancel
Showing results for 
Search instead for 
Did you mean: 

Snowflake vs Databricks SQL Endpoint for Datawarehousing which is more persistent

Shailu1
New Contributor II

Snowflake vs Databricks SQL Endpoint for Datawarehousing which is more persistent

1 ACCEPTED SOLUTION

Accepted Solutions

karthik_p
Esteemed Contributor

@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...

View solution in original post

3 REPLIES 3

karthik_p
Esteemed Contributor

@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
Not applicable

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
New Contributor II

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.

Connect with Databricks Users in Your Area

Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you won’t want to miss the chance to attend and share knowledge.

If there isn’t a group near you, start one and help create a community that brings people together.

Request a New Group