Snowflake Announces Software Licensing Program Contract with State of California
January 16, 2019 at 07:30 pm IST
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Snowflake Computing announced the signing of a software licensing program (SLP) contract with the state of California. Snowflake is now listed as an approved vendor on the Department of General Services (DGS) website, where state and local public sector entities can procure Snowflake products and services. Government agencies will now be able to use Snowflake's cloud-built data warehouse to get insight from all their data by all their users. In addition, they'll be able to easily and securely share data in real time across all their business units, with other state agencies and with citizens. This is all made possible to Snowflake's key product benefits: secure data sharing, instant elasticity and per-second pricing across multiple clouds. With Snowflake, agencies can easily derive deep insights from data without the hassle and costs associated with existing legacy solutions. Snowflake's unique difference with sharing data across and between agencies is that data doesn't physically move. All other methods require moving data, which brings avoidable cost, risk, and headache. With Snowflake data is shared in a secure and governed way in real time by creating access to read-only copies of the data, a unique attribute of Snowflake's cloud-built architecture. This means agencies have unlimited opportunities to integrate shared data with their own data, giving them a level of insight previously unattainable. Being part of the SLP simplifies the procurement process by making all deals subject to pre-negotiated terms and conditions with Snowflake's authorized reselling partners. State and local agencies that want to buy Snowflake now have a simple method for procurement that includes partners certified Small Businesses (SB) and Disabled Veterans Business Enterprises (DVBE).
Snowflake Inc. enables every organization to mobilize their data with Snowflakes Data Cloud. The Companyâs platform powers the Data Cloud, enabling customers to consolidate data into a single source of truth to drive meaningful business insights, apply artificial intelligence (AI) to solve business problems, build data applications, and share data and data products. Its platform supports a range of workload, including data warehouse, data lake, data engineering, AI/machine learning (ML), applications, collaboration, cybersecurity, and Unistore. Its cloud-native architecture consists of three independently scalable but logically integrated layers across compute, storage, and cloud services. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases with minimal latency. The storage layer ingests massive amounts and varieties of structured, semi-structured, and unstructured data to create a unified data record.