Snowflake is a Data warehousing platform - subject oriented, star schema or snowflake schema. I hope I don't have to explain what data warehousing is in detail. Both can support star schema and snowflake schema but that does not mean, both are data warehousing platforms. Snowflake is optimized for warehousing whereas Databricks is meant for storing huge volumes of data in tabular format with data quality in mind in order to support AI use cases.
Honest feedback (from a data engineer): This video feels less like an "ultimate comparison" of both products, and more like a fluff piece comparing Snowflake's marketing fluff against Databricks' marketing fluff. I was hoping that this would go deep on real-world comparisons between Databricks & Snowflake on things like: - ease-of-use, maintainability, and administration - side-by-side performance benchmarks - cost (real numbers) - features (i.e. a feature matrix) Ultimately, I am no closer to knowing which product is "right for me".
I agree, it was meant to be a beginner introduction as I’ve been postponing to edit a video I made about an in-depth comparison. Didn’t feel I covered enough and your points are helpful. I’ve spent more time on Azure lately but thank you for this, appreciate the feedback 🙏
Snowflake can in fact process and handle massive (TB/ PB) datasets quite easily. The ease of use here probably gives it an edge over Databricks in this regard. And Databricks may have more functionality with streaming data, but Snowflake can handle streaming data quite well with Snowpipes.
Seems like you don’t really know a lot about Snowflake. SF is able to run more/complex/different workloads faster and much easier to use then DB. Love both products but SF > DB 100%
Thanks for posting - great intro video for someone looking to compare the two platforms. Would have loved more concrete example though. For example I'm curious what engineering & ML use cases Databricks enables that Snowflake cannot? Thanks
Snowflake is a Data warehousing platform - subject oriented, star schema or snowflake schema. I hope I don't have to explain what data warehousing is in detail. Both can support star schema and snowflake schema but that does not mean, both are data warehousing platforms. Snowflake is optimized for warehousing whereas Databricks is meant for storing huge volumes of data in tabular format with data quality in mind in order to support AI use cases.
The Snowflake almost no maintenance, Databricks you need a good admin .
Honest feedback (from a data engineer):
This video feels less like an "ultimate comparison" of both products, and more like a fluff piece comparing Snowflake's marketing fluff against Databricks' marketing fluff.
I was hoping that this would go deep on real-world comparisons between Databricks & Snowflake on things like:
- ease-of-use, maintainability, and administration
- side-by-side performance benchmarks
- cost (real numbers)
- features (i.e. a feature matrix)
Ultimately, I am no closer to knowing which product is "right for me".
I agree, it was meant to be a beginner introduction as I’ve been postponing to edit a video I made about an in-depth comparison. Didn’t feel I covered enough and your points are helpful. I’ve spent more time on Azure lately but thank you for this, appreciate the feedback 🙏
Snowflake can in fact process and handle massive (TB/ PB) datasets quite easily. The ease of use here probably gives it an edge over Databricks in this regard. And Databricks may have more functionality with streaming data, but Snowflake can handle streaming data quite well with Snowpipes.
Good points. I’m planning to make an updated one going into more detail in the next weeks.
Snowflake can be used for core business analysis. Databricks is for the ML guys to play with data, burn budget and produce non-serious results.
😂😂
Lol keeps them busy!
long live ease of use
Good video as I'm prepping for a databricks and snowflake interview. Subbed
Good luck sir
You should update this video wih Snowflake Cortex AI information
@@distantsight I do need to do a more detailed and updated one
Why the annoying giant text over the video that can't be turned off! Leave subtitles to do that job.
Seems like you don’t really know a lot about Snowflake. SF is able to run more/complex/different workloads faster and much easier to use then DB. Love both products but SF > DB 100%
Definitely less than DB but tried to be as neutral as possible
do you use snowflake often?
Thanks for posting - great intro video for someone looking to compare the two platforms. Would have loved more concrete example though. For example I'm curious what engineering & ML use cases Databricks enables that Snowflake cannot? Thanks
Thank you, I'll most probably do a more detailed comparison in the following weeks.