We’re thrilled to share that Databricks has gained the AWS ISV Accomplice of the 12 months award for North America. This award acknowledges high ISV Companions which can be utilizing AWS to decrease prices, improve agility, and innovate sooner. Reaching this recognition underpins the power of our partnership and talent to offer a easy, unified knowledge intelligence platform that’s seamlessly built-in with AWS.

Databricks was additionally a finalist for the next awards, recognizing our demonstrated experience in knowledge and analytics throughout industries and areas:

• ISV Information and Analytics Accomplice of the 12 months – International
• Trade Accomplice of the 12 months – Retail & Shopper Packaged Items – International
• Trade Accomplice of the 12 months – Promoting and Advertising – International
• Non-Revenue Group (NPO) Accomplice of the 12 months – LATAM

These achievements exhibit Databricks’ dedication to making a seamless and industry-leading knowledge and AI expertise for our joint clients. Notably, Databricks is accessible in AWS Market, in addition to within the AWS Market for the U.S. Intelligence Neighborhood for intelligence businesses to guage, buy and deploy vendor functions in minutes through AWS IoT 1-Click on^®.

Earlier this 12 months, Databricks added help for AWS Graviton3 situations, to offer much more alternative and adaptability for purchasers to optimize the efficiency and price of their knowledge workloads. Databricks additionally lately highlighted the shopper preview of Lakehouse Federation to permit clients to run federated queries utilizing knowledge saved in Amazon Redshift. The preview of federated queries on Redshift highlights Databricks and AWS’ dedication to creating an open and interoperable lakehouse structure that permits Databricks clients to incorporate their full knowledge property of their analytics. That is one in every of many inventions that Databricks and AWS have collaborated on up to now 12 months for our mutual clients. Lastly, we introduced the power to question Delta Lake tables seamlessly in Amazon Athena to enhance the operational effectivity, question efficiency, and TCO utilizing lakehouse structure constructed on Amazon S3. This innovation permits Athena to make use of metadata contained in Delta Lake recordsdata to cut back knowledge scan prices and obtain as much as 40% higher question efficiency.

Databricks returned to re:Invent this 12 months as a Diamond Sponsor, internet hosting progressive periods round constructing and deploying customized LLMs, and the strategic significance of governance within the age of AI, that includes joint AWS and Databricks buyer, Block.

We look ahead to persevering with our collaboration and momentum with AWS within the years forward. Join a free trial on the AWS Market. New signups can apply to see if they’re eligible to obtain $1,000 in AWS credit and hands-on help from a Databricks skilled.