Summit 2022: Snowflake expands its data vault with cloud applications

Snowflake continues to build its own data storage and analysis ecosystem. During the 2022 summit, the publisher presented its roadmap, including an update on its global and in France activity, as well as announcing Python in Snowpark, a framework linked to its market as well as Unistore’s workloads and cybersecurity.

Live from Las Vegas. Cloud data warehouse provider Snowflake reconnects events in physics. The site’s last release dates back to 2019, before the pandemic. In 2020 and 2021, the company then introduced a virtual event to stay in touch with its ecosystem of customers and partners. Today, it’s doing big things for the occasion, and the 2022 Snowflake Summit, which will take place June 13-16, is supposed to gather 10,000 people in Las Vegas. To open the ball, Frank Slotman, CEO of Snowflake since April 2019, is back on the company’s growth. With 5,944 clients in its portfolio – including 506 of the 2021 Forbes Global 2000 companies – the provider does more than do well.

The publisher announced total revenue of €1.2 billion in 2022 compared to €592 million in 2021. By influencing increasingly diverse sectors, the company is clearly demonstrating its goal: to mobilize all the data in the world. In France, the company is very reassured about its future, and considers itself a “major supplier of the data economy”. Edouard Bocourt, Country Director for France at Snowflake, specifies that the French entity has gone from 30 to a hundred employees in one year, a change that has been accompanied by a strong increase in the number of customers in areas such as communications, mass distribution, luxury manufacturing, logistics or even energy and manufacturing. Snowflake has also benefited greatly from the needs that have emerged during the pandemic in some companies and the obligation to make quick decisions. Hence, she tackled professions that had not yet been digitized and had a dire need to move forward with her projects. Evaluating Snowflake’s portfolio of solutions, Edouard Beaucourt considers the publisher to use up to 80% of the data lifecycle and aim for 100% in the coming years.

Loaded roadmap

To bring the latest solutions and features that will enhance the data cloud ecosystem, Benoit Dagville, Snowflake co-founder and chief product officer spoke. In keeping with his habit of providing a roadmap for the next two years, he has scrapped his batch of Snowflake innovations aimed at powering Data Cloud. The enterprise data standardization platform also provides the means to share data with other organizations globally. First, the ability to provide fast access to data, even on the petabyte scale so that anyone can “run everything” [ses] Snowflake workloads.” A breakthrough “is made possible by a multi-cluster shared data architecture that completely separates data storage from computing.” In fact, resources can be scaled up and down in seconds, as power is instantly delivered to each workstation.

He goes on to mention Snowgrid – a platform where everyone can easily share and collaborate without ETL – specifying that the latter can connect all regions and provide the ability to migrate between different clouds. Benoit Dageville also discusses the programmable aspect of Data Cloud. In this sense, Snowflake announces the expansion of native support for Python and launches Snowpark for Python, now available to all customers in public preview, with the goal of making the publisher’s “ecosystem of open source Python packages and libraries accessible to data scientists, data engineers, and application developers.” The Snowpark development framework, introduced in June 2021 and available to everyone since the end of January, specifically allows these companies to build machine-learning-capable applications that flow directly into Snowflake using their preferred languages ​​and libraries. Note the original integration with Streamlit – acquired last March – for rapid development and iteration of applications in development.

Framework and workloads in the menu

Snowflake announces the launch of a native application framework dedicated to building, monetizing, and deploying applications to its data store. Currently in private preview, this framework is aimed at developers who want to create and monetize apps in the Snowflake market. “Users will be able to safely install and run these applications directly into Snowflake instances, reducing the need for data transfer.” This framework will use features such as Streamlit integration to develop interactive client interfaces, telemetry, event management, and alerts for monitoring and troubleshooting that is also in development. With this tool, the publisher wants “data cloud developers to be able to focus on functionality, not operational load.”

Also on the agenda is the launch of Unistore and cybersecurity services. Unistore offers a workload to standardize analytical data and transactions in a data store. As part of this workflow, Snowflake offers hybrid tables, which provide fast single-row operations and provide organizations with additional means to perform rapid analysis of transactional data. said Christian Kleinermann, Senior Vice President, Snowflake Products. As for the cybersecurity workload, it should provide cybersecurity teams with more visibility and automation at the cloud scale. “Customers are able to efficiently store years of big data, research with on-demand scalable computing resources, and gain insights using global languages ​​like SQL and Python, currently in private preview,” Snowflake says. The cybersecurity workload supports a wide variety of use cases, including security compliance, cloud security, identity and access, vulnerability management, and more.

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