Snowflake Computing, San Mateo, California

Company: Snowflake Computing, San Mateo, California
Entry Submitted By: Kulesa Faul
Company Description: Snowflake Computing was founded in 2012 with the vision of reinventing the data warehouse. Our team, experts who hold over 120 patents in database and data processing technology, have created a completely new data warehouse, built for the cloud and for today’s data needs. Snowflake enables organizations to bring together all data, all users and all workloads in a single cloud service.
Nomination Category: New Product & Service Categories - Software
Nomination Sub Category: New Product or Service of the Year - Software - Big Data Solution

Nomination Title: Snowflake Computing

Tell the story about this nominated product or service (up to 650 words). Describe its function, features, benefits, and performance to date: TEXT REDACTED FOR PUBLICATION

Snowflake emerged from stealth on Oct. 21, 2014, to announce $26 million in funding and to unveil the Snowflake Elastic Data Warehouse™. On June 23. 2015, Snowflake announced general availability of that offering as well as an additional $45 million in Series C funding.

Snowflake’s launch was met with widespread coverage in variety of publications, including Bloomberg, TechCrunch, VentureBeat, The New York Times and Fortune. In the short amount of time that Snowflake was out of stealth in 2014, CRN Magazine designated Snowflake worthy of inclusion of several of their “Top Ten” lists for 2014, as well as their 2015 Emerging Vendors list. As a new product in the market, this was a huge achievement.

To make it possible to deliver significant new innovation, Snowflake took on the challenge of developing a completely new data warehouse rather than starting with existing open-source or commercial database or data platform software. Building a new database allowed Snowflake to design a patent-pending new architecture that addresses key limitations of prior solutions. Snowflake’s product is designed for the cloud, optimized for today’s data, and delivered as a true software service. Snowflake delivers the power of data warehousing, the flexibility of big data platforms and the elasticity of the cloud—at a 90 percent lower cost than on-premises data warehouses.

Among the key features of the Snowflake Elastic Data Warehouse:

Data warehouse as a service: Snowflake’s software automatically handles deployment, monitoring, performance optimization, availability, data protection, and more without requiring manual management by users.
Multi-cluster, shared disk architecture: Snowflake’s unique architecture makes it possible to bring together data in a single system without sacrificing performance and scalability. Storage, compute, and users can be scaled up and down independently to deliver exactly the resources needed, exactly when needed.
Native support for diverse data: Snowflake natively understands and processes not only the structured data familiar to relational databases, but also the semi-structured data so commonly generated by applications and systems today.
Compelling price : performance: Customers have seen significant performance improvements using Snowflake, shrinking data pipelines from 12 – 24 hours down to 15 minutes while paying only for the storage and compute that they use.

Here are a few customer and analyst validations:

“We evaluated several data warehousing offerings for Adobe AudienceManager and were immediately struck by the innovative cloud-based architecture Snowflake has created. The flexibility that comes from separating compute from storage provides users and applications with on-demand access to business-critical data at the performance level and scale required.“ -- David Weinstein, Director of Software Development for Media & Advertising Solutions at Adobe.

“Snowflake has made it easy to get data to analysts faster. Its unique architecture makes it possible to have all of our teams working with data in one system, without performance impact and without needing to be database administrators.“ -- Josh McDonald, Director of Analytics Engineering at KIXEYE.

“A common theme we’ve seen in our surveys and research is that business demands are forcing people to rethink their data platforms. Relational data warehouses have a critical role to play, but conventional approaches can be too expensive, too complex and too inflexible to handle today’s data challenges. Snowflake is delivering a new data warehouse that addresses these issues with a unique approach for the cloud. By providing the flexibility to handle different types of data and quickly make data accessible to analysts, Snowflake is delivering unique customer value through new innovation.” -- John Myers, managing research director for BI/DW at EMA

In bullet-list form, briefly summarize up to ten (10) of the chief features and benefits of the nominated product or service.

- Unique multi-cluster, shared data architecture
- Native support and optimization for storage and querying of semi-structured data
- Eliminates the overhead associated with managing traditional data warehouse solutions, making self-service possible for data professionals
- Multidimensional elasticity, which enables on-demand scale up and down of storage, compute, and users

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Snowflake Computing, San Mateo, California

Nomination Title: Snowflake Computing