Snowflake Computing Reveals Data Warehouse As A Service Designed For The Cloud

Today, Snowflake Computing emerged from stealth to announce the Snowflake Elastic Data Warehouse, branded as the first data warehouse designed specifically for the needs of cloud computing infrastructures. The Snowflake Elastic Data Warehouse absolves customers of the hassle of managing an on premise data warehouse by providing a data warehouse as a service. Moreover, the platform’s patent pending technology delivers a SQL-compliant data warehouse that elastically scales in conjunction with the number of users, incoming data and workloads. The platform’s “multidimensional elasticity” enables users to load and query data concurrently with a degree of performance that enables rapid ingestion and transformation of data into a relational database structure. Meanwhile, the product decouples storage from computational power in the context of a larger architecture dedicated to optimizing cloud storage and querying capabilities. Customers interact with data stored in the Snowflake Elastic Data Warehouse via a SaaS user interface that delivers query results as illustrated by the screenshot below:

Whereas competing data warehouses from Teradata and Oracle typically deliver on premise data warehouse products, the Snowflake Elastic Data Warehouse allows analysts to run queries such as that shown in the graphic above via a web browser. Today’s announcement of the Snowflake Elastic Data Warehouse coincides with a concomitant announcement of the company’s finalization of $26M in Series B funding led by Redpoint Ventures with additional participation from Sutter Hill Ventures and Wing Ventures. With an extra $26M in cash, Snowflake Computing stands poised to continue disrupting the traditional data warehouse space by delivering a warehousing platform uniquely configured for the cloud. As such, the platform embodies the convergence of cloud computing and Big Data by delivering cloud-optimized performance for the storage and retrieval of petabytes of real-time, streaming Big Data.