“Snowflake and Databricks are currently considered the two leading data platforms on the market.”
In this article from Journal du Net, we dive deep into the comparison of the two and identify their differences as well as their similarities.
After reading it, you should know exactly which one is best suited for your project!
It remains that Snowflake will be better suited for teams coming from business intelligence and the SQL world, while Databricks will be a better fit for those focused on data engineering and data science.
Created in 2013, Databricks, whose founders are behind the big data framework Spark, has historically built its popularity on a dimension that is decidedly focused on big data and, ultimately, artificial intelligence. On the contrary, Snowflake, founded in 2012, is historically presented as a full-cloud data warehouse. It is a vertically managed and massively distributed database, with a robust SQL layer at its core.
So, which one to choose for your data project?
Read the full article here and find out more!
