Snowflake partners with Segment to analyze customer data rapidly
The companies say the idea is to provide a comprehensive data solution for enterprises to aggregate and analyze customer data at scale. With the integration, Segment’s customers gain access to Snowflake’s cloud-based elastic data warehouse, which allows organizations to store all of their data in one location for easier access. Meanwhile, Snowflake users can now access a single data connector that delivers data from more than 40 sources via its application programming interface.
The companies said the main benefit is that their customers can now store their data in a scalable cloud data warehouse and access it instantly, without needing to worry about maintaining their information technology infrastructure.
The integration is yet another example of the trend toward a “serverless” architecture, which frees up engineering teams from having to scale up their IT infrastructure manually. Snowflake’s and Segment’s integration means that customers no longer need to worry about tasks such as provisioning, scaling and operating the underlying servers, networking environments and security models and can instead just focus on their data alone. Such an ability would have been unthinkable just a few years ago, the companies said.
The companies’ partnership also is aimed at helping businesses to serve customers that are increasingly demanding a more personalized service, the companies said. Segment can channel customer data from multiple sources, giving businesses better clarity on each one. Meanwhile, Snowflake provides speedy analysis of this data. As a result, businesses can use the combined offering to deliver personalized responses more quickly to their customers, the companies said.
“Customers can now harness the power of Segment’s platform to easily bring together critical data from over 40 sources for rapid analysis,” said Walter Aldana, vice president of alliances at Snowflake.
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