Snowflake vs Redshift : Modern-Day Data Warehouse Solutions
Are you looking for the best data warehousing solution for your company?
Snowflake and Redshift are one of the best Data warehouse solutions with almost similar capabilities.
Snowflake
➪ is a cloud-based data warehouse that runs on Amazon Web Services or Microsoft Azure. It’s great for enterprises that don’t want to devote resources to the setup, maintenance, and support of in-house servers because there’s no hardware or software to choose, install, configure, or manage.
Amazon Redshift is a cloud-based, fully managed petabyte-scale data warehousing service. Starting with a few hundred gigabytes of data, you may scale up to a petabyte or more. This allows you to gain fresh insights for your company and customers by analyzing your data.
Both Snowflake and Redshift offers some amazing features such as storage, security, concurrency, data sharing etc. But, what makes them different?
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- What is Snowflake?
- How does Snowflake work? – Architecture
- Features of Snowflake
- Disadvantages of Snowflake
- What is Redshift?
- How does Redshift work? – Architecture
- Difference between Snowflake vs Redshift
and much more….
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About the Author Atul Kumar
Oracle ACE, Author, Speaker and Founder of K21 Technologies & K21 Academy : Specialising in Design, Implement, and Trainings.