“With our move to the cloud and lakehouse architecture, we are well positioned to respond to new data challenges swiftly, enabling us to fulfill the agency’s mission of ensuring efficiency, accountability and integrity in the U.S. Postal Service.”

“Using DLT, now with just a simple click, we can effortlessly transition our metadata scheduling from triggered to continuous and back again, all without the need to dive into complex code, which saves us a considerable amount of time.”

“Databricks Lakehouse gives us the underlying tech to help our customers offer an authentic chat experience while efficiently using insights to improve business performance.”

"Databricks has changed the way our data engineers, our data scientists, and our product managers all communicate.”

“That sounds like a basic question, but oftentimes, commercial properties are owned by corporations, LLCs, and trusts. Piercing through that corporate veil and building a knowledge graph and associating a company with a series of properties over time is massively valuable.”

"Databricks has helped Directly democratize data across the company, empowering our data teams to create state-of-the-art machine learning and data pipelines to automate and engage with our clients and users.”

"The C360 platform empowered teams to create consumer features at scale, which in turn allows for these features to be extended to other markets and used by other teams. This helps to reduce the engineering overhead and costs exponentially.”

"Our ability to embed ML and AI in all aspects of our business has been crucial in creating more value for our clients. Azure Databricks and MLflow are core to our ability to deliver on this value.”

"Building a self-driving truck has never been done before. It requires a huge amount of creativity, problem-solving, and intuition, and without Databricks we simply wouldn’t be able to do this.”

"The best part is that we calculate that by using Databricks, we’ve saved around 90% of the cost of having a Spark cluster in our datacenter.”

“In order to execute on our data analytics strategy, new technologies were needed in order to improve data engineering and boost data science productivity. The first steps we took were to move to a cloud-based data lake which led us to Azure Databricks and Delta Lake.”

“Databricks gives our data scientists the means to easily create our own experiments and deploy them to production in weeks, rather than months.”

"Databricks is the out-of-box solution that helps us unify our analytical workloads and involve other teams in the bank. It is the best platform for advanced analytics in the market.”

"With Databricks, we can get from prototyping into production-quality software in a matter of days when usually it would take weeks.”

"Databricks has given us the ability to move seamlessly between experimentation and the productionization of workloads and data pipelines in a unified platform.”