544 Databricks Testimonials

"Databricks has provided us with the support and technology to modernize our architecture, enabling us to do data science at massive scale."

“We chose Databricks almost naturally. We did a comparison, same job, side by side. Databricks vs a legacy software. Databricks constantly outperforming at least 20% improvement.”

“Snowplow has been crucial for Supercell. It gives us deep insights into how players engage with our games and events. This has empowered our teams to build better experiences, especially for Brawl Stars, while driving more collaboration and aligning us closer to our community. It’s been a game changer for understanding player feedback and elevating our product decisions.”

“ABFRL is an industry leading fashion retailer in India, with several leading brands and store formats, focused across diverse markets and customer segments. A key element of our digital transformation journey is migrating our data environment to cloud, for which we have selected Databricks as the preferred partner, enabling advanced analytics and AI use cases for future business growth.”

“The Databricks Data Intelligence Platform has enabled the business to react more quickly to consumer changes through the delivery of more granular data insights across different areas of the business, For instance, we can now personalize communications to target brand detractors and customized offerings to improve retention rates.”

“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."