The Snowflake data platform is not based on any existing database technology or on any “big data” software platform, such as Hadoop. Instead, Snowflake combines an entirely new SQL query engine with an innovative architecture designed natively for the cloud. Snowflake is one of the few enterprise-ready cloud data stores that provides simplicity without sacrificing functions. It automatically expands, both up and down, to achieve the right balance between performance and Snowflake's reputation for separating computing from storage.
This is important because almost all other databases, including Redshift, combine both, meaning you must scale your biggest workload and incur the costs involved. Snowflake is a relational database hosted in the cloud for building data warehouses. It is based on AWS, Azure and Google cloud platforms and combines the functionalities of traditional databases with a set of new and creative capabilities. It is unique in the way it addresses the changing needs of companies.
Snowflake is truly the data platform in the cloud and, from a humble but hugely ambitious starting point, it has gone from being an incredible data storage platform to the potential platform for all your analytical needs. In a Snowflake database, there is no need to use the same approach, thanks to Snowflake's development of virtual data stores. Snowflake is a data warehouse built on the cloud infrastructure of Amazon Web Services or Microsoft Azure, and allows storage and computing to scale independently. Essentially, Snowflake is offered as a data warehousing as a service (DWaaS) solution, a more specific solution, apart from software as a service (SaaS) or platform as a service (PaaS).
If you work with external suppliers, partners or customers, you can share your data, even if the recipient is not a Snowflake customer. Snowflake promises to be a self-managing data warehouse that will allow you to quickly obtain information in a matter of weeks, rather than years. Snowflake was designed to take advantage of the opportunities of mass data storage in the cloud and is based on Amazon S3.This way, Snowflake customers can enjoy a faster response time with resources capable of handling more inquiries simultaneously. If you understand what makes companies choose Snowflake DB over other DWAAS, you can also make informed decisions for your database provider.
Based on its multi-cluster shared data architecture, Snowflake offers a single and consistent data experience. Snowflake and its in-house team handle all maintenance, such as routine checks, server maintenance and software updates. From industrial-grade security measures in all its databases to allowing administrators to control staff access, Snowflake's cloud data warehouse employs a comprehensive data security strategy to keep confidential business information safe and protected. Snowflake drives thousands of organizations from all industries toward smarter strategies, products and services.
Try Snowflake free of charge for 30 days and enjoy the data cloud that helps eliminate the complexity, costs and limitations inherent to other solutions. The Snowflake data cloud supports a wide range of solutions for processing, data integration and analysis, and is capable of managing a wide range of workloads, including data engineering, a data lake, data science, applications, and data exchange and exchange.
