Data Lakes vs. Data Warehouses Comparison Guide

Read at-a-glance comparisons between AWS, Azure, Snowflake, GCP, and more…

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On the surface, data lakes and data warehouses may seem similar, but there are essential differences to consider. In order to extend data-based analytics to as many users as possible, you must first choose the right data storage and data delivery solution.

Download this eBook to understand:

  • Primary differences between data lakes and data warehouses

  • Side-by-side comparisons of top cloud data lakes: AWS, Azure, Google Cloud Platform, Cloudera, Databricks and Snowflake

  • At-a glance comparisons of cloud data warehouse platforms: Amazon Redshift, Azure, Google Big Query and Snowflake

  • Components, functionality, capabilities, and key advantages

  • Best practices in implementation and optimization of cloud data lakes and data warehouses, and how they can work in tandem

Find out how to accelerate, automate, and govern data delivery – whether you use a data lake, a data warehouse, or both.