We all know that Data Lakes are used primarily to support artificial intelligence (AI), machine learning (ML), and other advanced analytics that may require a wider range of unstructured and semistructured data types, which are more complex for the traditional Data Warehouse. But with the multiple Data Lakes available from AWS, Azure, Google, Cloudera, Databricks, and Snowflake it is hard to identify what to choose from.
If you also have this conundrum keep reading our Cloud Data Lake Comparison Guide to understand the advantages of Cloud Data Lakes and also a detailed understanding and comparison between AWS, Azure, Google, Cloudera, Databricks, and Snowflake data lakes. And as an add-on, get to know how the Qlik Data Integration platform can help you gain more out of your cloud data lake investment.