544 Databricks Testimonials

"Before Databricks, the time to market would’ve been weeks, if not months to meet the analysis requirements for some of our customers. Now, it takes hours.”

“The Databricks Lakehouse Platform has helped cement us as the market leader in online recruitment, enabling us to fully realize the potential of data intelligence for exceptional, highly tailored experiences with candidates and employers.”

“I can confidently say that Databricks Professional Services has been an invaluable asset to our team. Their expert guidance and hands-on support enabled us to quickly scale our ML systems and create new value streams for the business. Their engineers have been a pleasure to partner with. I highly recommend their services to any company looking to unlock the full potential of their data.”

“The Databricks Data Intelligence Platform has revolutionized the way we approach heat pump maintenance and efficiency. With real-time data and AI-driven insights, we’re not just preventing problems before they occur but also enhancing the overall user experience for our customers."

“Databricks Workflows allows us to clearly see how every job ran and whether it succeeded or failed. In our previous solution, we had a lot of moving parts, we had multiple triggers and multiple dependent pipelines that triggered each other. With the use of Workflows, there is only one job where we have all that information right in front of us.”

“Databricks enables our business users to better serve themselves and our IT teams to be autonomous. Whether it’s optimizing the supply chain or monitoring plant performance, everyone can leverage complete data to deliver on use cases that move the company forward.”

“Databricks has helped us harness the power of our data to more swiftly identify and neutralize potential threats to our business. This has not only elevated our security posture but also empowered us to uphold the trust of our customers.”

​​“The Databricks Data Intelligence Platform made it possible for us to take insights and innovation from local markets and then surface these to our global product, marketing and manufacturing teams. Teams now have an easy (and secure) way to share data and build AI solutions that can be scaled worldwide.”

“The Databricks Data Intelligence Platform has made our data easy to access, secure and collaborate on With data and AI at our fingertips, we can push our goals of further globalization, deeper cultivation of the intelligent hardware industry and high-quality expansion of product categories.”

“Databricks Assistant plays a pivotal role in boosting productivity. Through pair coding and leveraging Databricks Assistant’s expertise, teams are about 50% faster in their development and analytical tasks.”

“With the help of Databricks Assistant, we have been able to enhance productivity across data engineering, SQL, BI analysis and data science teams. We’ve not only addressed challenges around coding and debugging in general but also improved code syntax with unfamiliar libraries."

“We’ve done two years’ worth of work here in nine months. Databricks enables access to a single source of truth and our ability to process high volumes of transactions that gives us confidence we can drive our growth as a community bank and a leading banking-as-a-service provider.”

"When we want to launch and grow a product with a partner, such as a point-of-sale consumer loan, the owner of the data would need to send massive datasets on tens of thousands of customers. Before, in the traditional data warehouse approach, this would typically take one to two months to ingest new data sources, as the schema of the sent data would need to be changed in order for our systems to read it. But now we point Databricks at it and it’s just two days to value."

“The Databricks Data Intelligence Platform enables us to identify old customers at risk of churning and leverage machine learning to power personalized marketing campaigns designed to engage and drive LTV at an unprecedented level.”

“With MLflow, we have been able to build an ML workflow with ease, saving us 180 hours of MLOps overhead. This means we are able to get new models to production faster, which has improved our ability to target and retain old customers from 1%–5% to 200%–400%.”