Frustrated by the sluggishness of the major database providers they were working for at the time, 3 frenchmen funded Snowflake in 2013. Snowflake is the first cloud-native data warehouse. The team has raised $923 million since its foundation, for a current valuation of $3.5 billion. Thanks to a unique architecture, they are disrupting cloud standards, fostering innovations such as askR.ai.
Separating data processing from storage, a brilliant idea.
How did the company manage to win over competitors such as Amazon or Microsoft in just 6 years? Thibault Ceyrolle, president of Snowflake Europe, has an explanation “The cloud architecture has been designed to multiply the number of simultaneous users and the number of requests tenfold without compromising performance".
How? By separating storage from processing, i.e. by mobilising server resources on the go to respond to specific requests. Data is transferred only once, and the power of the servers is totally modular. This pay-per-use model, invoiced per second, is better suited to the needs of companies that are increasingly demanding on the scalability and cost control offered by cloud solutions.
>> Read the article "Cloud solutions are more secure than on-premise" <<
"No time to data" : a leitmotiv as important to Snowflake as it is to the data-assistant askR.ai
Snowflake's architecture significantly improves performance by reducing the time needed for queries. According to Gartner, only 35% of employees use traditional BI due to cumbersome setups and poor user experience. askR.ai and Snowflake, both are extremely simple to integrate with existing infrastructures, reducing setup time and increasing request speed. Snowflake is at the top of the data value chain, mainly used by data scientists who are able to grasp its full potential. askR.ai is further downstream, mainly used by employees who are not very familiar with the complexities of data architecture.
For Matthieu Chabeaud, CEO of askR.ai, the integration with Snowflake was obvious. "It is a new disruptive player in the Cloud industry. Companies interested in it can consider, as part of their global strategic vision, integrating a data-assistant into the daily lives of their operational staff. Snowflake is a multicloud solution, a strategy shared by askR.ai as it is also compatible with Microsoft Azure, Google Big Query and AWS.
To make it short, these two solutions appear as essential as they complete each other when scoping the current data market innovations.
