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Cloud Data Warehousing: Understanding Your Options Posted on : Apr 03 - 2021

Cloud data warehouses have emerged as the go-to repositories for amassing huge amounts of data and running advanced analytics and AI upon it. This is great news for customers, who no longer must worry about provisioning enough storage and compute infrastructure to handle surges in workloads. But not all cloud data warehouses are created equal, which makes it important to research the offerings so you can choose the right one.

The first step in the cloud data warehouse selection process is to get a good understanding of the different offerings that are available on the clouds today.

The big three public cloud providers–Amazon Web Services, Google Cloud, and Microsoft Azure–all offer cloud data warehouses that live atop their various cloud storage offerings, S3, Google Storage, and Azure Data Lake Storage (ADLS) Gen 2, respectively. The use of these data warehouses is growing quickly as organizations look to get out of business of managing the computing environments underlying their business applications.

As these organizations move to the cloud, they’re naturally looking to the cloud data warehouses of the Big Three, which is where the analysis starts.

Cloud DWs: The Big Three

Google BigQuery took home top honors in a recent Forrester round-up of cloud data warehouses. Analyst Noel Yuhanna applauded BigQuery’s serverless nature, and its ability to scale to hundred of petabytes. Integration with various other Google Cloud offerings, like Cloud AI Noteboks and BigTable, was another plus. Its support for AI and machine learning capabilities, and for Spark-based data engineering also got high marks. GIS and BI options also await BigQuery users. View More