Snowflake Launches New Features and Takes Milestone in Partnership with Salesforce

Snowflake Launches New Features and Takes Milestone in Partnership with Salesforce Cybersecurity

Snowflake launched its first round of integrations with Salesforce through a recent partnership as well as a series of new features designed to improve everything from research and queries to third party data ingestion and data masking for the security side.

Salesforce Ventures invested in the last round of funding for Snowflake. The two sides also agreed to better integrate products for joint customers.

Native integrations between Snowflake and Salesforce include tools to unify, analyze data in the Snowflake cloud data platform, and view it in Tableau and Salesforce. At a press conference, Frank Slootman, CEO of Snowflake, and Adam Selipsky, CEO of Tableau, said these integrations would fill the data gaps and provide businesses with more actionable information.

Snowflake and Salesforce launched the following:

  • Einstein Analytics Output Connector for Snowflake, a tool that allows customers to easily transfer Salesforce data to Snowflake and query it with Einstein Analytics and Tableau.
  • Einstein Analytics Direct Data for Snowflake, which allows Einstein Analytics users to query data in Snowflake. Data can include information from Salesforce as well as data generated by apps, mobile apps, the web, IoT devices, and data acquired from the Snowflake Data Marketplace.

Snowflake has independently launched its Data Cloud, which is an ecosystem allowing
clients and organizations to aggregate data. The Data Cloud is the
 Snowflake bet that customers will move the silo depots and the
 data on site to its platform.

New features available

Snowflake’s cloud data platform also includes the following new features:

  • Snowsight, a tool to execute queries and commands in Snowflake, to collaborate and visualize data and to create simplified dashboards.
  • Dynamic Data Masking, which allows customers to create policies based on permissions.
  • External tokenization to integrate third party token systems.
  • Optimization of research and the possibility of calling external services for help.
  • Data exchange to securely share data managed directly with units, partners, suppliers and customers.
  • Snowflake Data Marketplace to access preconfigured third party data sets for the Snowflake platform.

Christian Kleinerman, senior vice president of products at Snowflake, said that many features were previewed last year and are now no longer available. Christian Kleinerman pointed out that Snowflake aims to reduce friction in data analysis. The features will help customers “unify, integrate, analyze and share virtually any amount of data,” he said.



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