Data Innovation with Control:
Snowflake and Pyramid Working Together
The most successful companies in the world are data driven. In the era of data, machine learning, and AI organizations need to become data-empowered to remain competitive or risk becoming digital dinosaurs.
As data expands and becomes less structured, organizations can no longer rely exclusively on traditional databases and data warehouses, nor can they rely on legacy or self-service analytics and business intelligence tools to query this data. Recognizing this challenge is easy. Doing something about it is the hard part.
When it comes to database technologies, speed, concurrency, and simplicity matter. That’s why Snowflake has become one of the leading cloud data technologies on the market today. To harness the power of Snowflake, many modern analytic and business intelligence platforms describe the ease with which they can connect to your Snowflake environment. Yet configuring the environments are more difficult than anticipated, and connection issues persist—in some cases you cannot connect to your Snowflake data at all.
In a sea of hype, Pyramid’s Analytics OS represents the ideal complement to Snowflake’s high-performing database technology, especially in enterprise environments that have combination of legacy and next-generation infrastructure running on premises, in the cloud, or in hybrid environments. Pyramid can directly query Snowflake without transferring data to perform "in-place" analytics, or write back custom models to SnowFlake, ensuring all analytic data is kept in one place.