544 Databricks Testimonials

“What Databricks Lakehouse has given us is a foundation for the most innovative digital freight marketplace that leverages data and AI to deliver the best experience possible for carriers and shippers.”

“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 has transformed productivity at Kaizen. We can do more ML and produce better results, faster.”

“Some of the features include Databricks streaming to improve data processing and enable real-time use cases, Databricks SQL for easy data analysis, as well as the integration of data visualization tools, such as Power BI, for data-driven insights leveraging Databricks.”

"Databricks is scalable and flexible, allowing work on all our data sets, with the many nuances that exist across our verticals, while helping solve key business challenges faced by our business units.”

"It’s not about replacing human decision-making, it’s about empowering people. With Databricks, we gather all relevant internal and external data to enable our people to make insight-driven business decisions.”

"Bringing Databricks to Flipp has enabled us to democratize data more effectively, not only making our jobs easier, but also bringing better deals to our customers and more meaningful insights to our partners.”

“Spreadsheets helped keep track of progress but were incredibly tedious. Imagine entering in every parameter and every value for that parameter per line. And without standardization across the different projects, it was very hard to compare work that was being done by different data scientists.”

"Databricks has provided one platform for our data and analytics teams to access and share data across ABN AMRO, delivering ML-based solutions that drive automation and insight throughout the company.”

“We are a truly agile organization now. There were things that weren’t even possible before. Now we have the flexibility and capability to do anything.”

"We’ve seen a 40% productivity uplift for data engineering — reducing the time it takes to develop new ideas from days to minutes and increasing the availability and accuracy of our data.”

“We knew we had to rethink our ETL to deliver production-line data in near real-time.”

"Now that we know what to build and what to automate and can safely and efficiently iterate on the system infrastructure, there is no limitation on how we can use real-time aviation data.”

"Databricks enabled us to increase capacity, reduce costs and build a trusted data foundation that provides our teams with the confidence they need to make informed decisions for the betterment of our students and faculty.”

“This has been a massive leap in technology for the university. The Databricks platform alongside Power BI and Azure Data Factory make an incredibly powerful combination. The work that Databricks [and Microsoft] did to integrate the various aspects so tightly into the stack was a cornerstone of the project’s success.”