“Integrating streams of data on Redshift was always challenging. We struggled to keep our data pipelines running reliably and ensuring that our data was up to date.”

"The combination of autoscaling, spot-pricing and auto-termination has allowed us to maximize utilization of compute while minimizing money spent on idle resources."

“Databricks helps us to implement this customized HR data science product engineering process that greatly simplifies data processing, feature computation, model training, and model scoring.”

“Databricks not only helps our data team, but also everyone in the company deliver insights faster.”

“We’re diagnosing real-world problems in real time, finding anomalies as they happen, and fine-tuning our algorithms so that we become more successful with every flight.”

“Our goal is to leverage data and AI to create an end-to-end experience that extends far beyond payments. This is the first step in achieving our vision of becoming Brazil’s first super-app, and Databricks Lakehouse is core to making that a reality.”

“Our data infrastructure didn’t allow us to collaborate on the data and with each other."

“Databricks has enabled us to consolidate massive amounts of data under a unified ML platform while taking personalization and fraud detection to the next level. Our internal teams have also been able to collaborate more efficiently, allowing us to improve the experience of playing fantasy sports and grow our user …

“In order to build the ML systems necessary for personalized fantasy sports recommendations, real-time fraud detection and operational efficiency, Dream11 needed a centralized, highly reliable and data scientist friendly machine learning platform that could scale a massive and sudden surge of data seamlessly across all our entities at speed.”

“Our collaboration with Databricks has enabled us to take control of our data and manage it more efficiently. Not only were we able to scale the data, but thanks to the integrated siloed teams, we are better able to launch our product, deliver personalization and enhance our fraud detection systems.”

“Thanks to Databricks Lakehouse, we can support real-time business decision-making based on data analysis results that are automatically updated on an hourly and daily basis, even as data volumes have increased by nearly 1,000 times.”

“The Databricks Lakehouse has allowed us to centralize all our data for our teams to collaboratively uncover insights, and develop student-centric services that have a positive impact on retention rates, and ultimately lead to more successful student outcomes.”

“Having access to industry-leading tools and programs provided by Databricks, a company that continues to drive innovation across the data science and machine learning community, is very exciting for our professors, students and university.”

“Databricks Lakehouse has provided a unified platform that brings together data and AI to deliver predictive solutions that help to protect our customers and our business by stopping fraud before it happens.”

“With Databricks Lakehouse Platform and Labelbox, we’re able to realize our full ambition of creatively led, data-driven content creation. Labelbox continually gives our team insights on how to optimize our campaigns. And Databricks helps us maintain an efficient, sector-leading analytics capability in the cloud.”