Since Snowflake’s inception we’ve had the needs of our customers as our North Star, with a clear focus on security and governance of data, continuous advances on performance and reduction of latencies, and relentless capabilities innovation. As part of our product development, we constantly evaluate where open standards, open formats, and open source can help or hinder our progress towards those goals. In short, it is a matter of degree.
When you’re one of many developers commanding streaming applications running in Apache Kafka, you want enough data observability to fly your own data product to the moon. But you also want to boldly go where no developer has gone before to discover new applications. At the same time, you don’t want to be exposed to sensitive data that summons you to your compliance team, crashing you back down to earth.
When COVID hit, multinationals went into a tailspin, scrambling for solutions to pandemic-related problems like suspended flights, social distancing, and stay-at-home orders. How could global brands function when operations are so interconnected? One global sales and marketing brand stayed calm in the crisis, innovating localized strategies that strengthened remote regional teams.
Leverage accounting and finance data in your centralized warehouse to refine spend strategy.
We take data integrity seriously so your business doesn’t pay the price.
Have you ever looked at clouds with a friend and seen patterns, shapes, and animals that they just can’t make out? The images appear so obviously to you but no matter how hard you try to show them, your friend sees an entirely different shape, or perhaps nothing at all. Building product features can be a similar exercise in frustration. As designers and builders, sometimes we see our own “cloud shapes” in the product.
