We’ve optimized Snowflake to take advantage of new hardware improvements offered by AWS, and we are seeing 10% faster compute on average in the regions already rolled out. Transparent engine updatesįor those of you running on AWS, you will get faster performance for all of your workloads. At Summit, we announced a number of new engine capabilities we are going to summarize in this blog post. Nearly every improvement we make applies across the board rather than to a single use case or workload. You also get more platform innovation more frequently. You won’t need to figure out different pricing implications when deploying data engineering, analytics, or data science workloads. There’s no need to manage multiple engines, services, complex system architectures, or data flows. Ultimately, the result is the elimination of complexity. The single engine approach translates into a single experience-from one consistent pricing model to an integrated approach combining performance, security, governance, and the foundation to seamlessly enable cross-region or cross-cloud scenarios. From day 1, we have been focusing on consistently evolving and improving this engine to allow existing workloads to run more efficiently and enable new workloads to run on Snowflake. Snowflake’s Data Cloud is powered by a single engine.