“Databricks Lakehouse has given us the flexibility to unleash our data without compromise. That flexibility has allowed us to speed up analytics to a pace we’ve never achieved before.”
“Databricks has tremendously improved the visibility of our development to other departments and to the CIO. The Databricks notebooks make it easy for me to access the work done, allowing me to choose highlights of our R&D work to share. When people ask for a particular capability, I am able to take one of Elsevier Labs’ existing Databricks notebooks and immediately demonstrate what they were looking for."
"Databricks has enabled us to manage the tremendous amount of data from our 8,500km track assets across Australia, and helped us build a strong data foundation that is ready for the future. Not only are our digital aspirations strengthened, but Databricks has also improved the resilience, availability and efficiency of our services, as we continue to support Australia's ongoing economic development."
"Databricks’ simple cluster management interface allows our engineers and data scientists to create, modify, and delete Spark clusters with just a few clicks without any help from DevOps or IT. The ability to rapidly manipulate Spark clusters has made it uniquely simple for us to dynamically provision resources based on our processing needs. Once we had our Spark clusters up and running, we were able to easily bring our data from AWS S3 into our interactive workspace and begin analysis with Spark SQL."
"The notebooks feature in Databricks encourages good documentation by automatically recording the code written during an ad hoc analysis session. This has had profound effects for us, from increasing collaboration and improving reproducibility to making analysis more approachable to a wider audience, who can start off by cloning someone else’s research."
"Using Databricks allows the whole Radius technical team to work faster and more efficiently, and has improved collaboration across multiple teams working on larger projects."
“Thanks to Databricks, our engineers have gone from being burdened with operations, having to face long wait times, performance bottlenecks and other hurdles that impede our progress — to having the ability to easily dive right into analytics. As a result, our team is more productive and collaborative with big data than ever.”
"Databricks helped us deliver a new feature to market while improving the performance of the data pipeline ten-fold. We would not have been able to fully harness the power of Apache Spark to deliver the feature to market without Databricks."
“Databricks Data Intelligence Platform has helped Edmunds significantly reduce the time it takes to unlock the value of our data so that everybody can get access to those insights faster.”
"Databricks takes the pain out of cluster management, and puts the real power of these systems in the hands of those who need it most: developers, analyst, and data scientists are now freed up to think about business and technical problems."
"Databricks radically streamlined data-driven decision making at Sellpoints with the Databricks Dashboards functionality. This feature enables us to go from data to insights using a single simple-to-use platform instead of relying on multiple handoffs between complex."
“Databricks can process twice as much data in one-sixth the amount of time compared to Yesware’s previous implementation based on Apache Pig, allowing us to provide the insights our customers urgently need with minimum delay.”
"Databricks offers a very powerful visualization tool that allows us to dig into the data. This powers our datadriven discovery process and helps us decide which features to build first. The integrated workspace allows several people in the team to review the code and visualizations, make suggestions, and fix problems faster."
"As our data pipeline continues to grow exponentially, it’s vital for us to be able to handle such scale without limiting our ability to deliver timely insights to our customers. Databricks empowers us to innovate to meet these growing demands of our business without pain."
“The Elsevier Labs team developed a Databricks application for us that provides deep insight into suspicious usage of one of our databases. The application enabled my team to work much more effectively with customers to identify security breaches of their environments, and reduce content theft much sooner than we had been able to do so previously."