544 Databricks Testimonials

“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.”

“A shopper who browses products on Burberry.com is telling us something about what she really wants. Thanks to Databricks and Snowplow, we can build an AI-Ready Customer 360 so our client advisors have that information from the moment she walks into our store — and can deliver a personalized NextGen CX.”

“While our legacy architecture served its purpose, relying on truncate-and-reload tables made transformations costly and time-consuming. Autoscaling clusters were available but too expensive to utilize fully. To prepare for the future, we needed more accessible and efficient features.”

“The biggest pain point wasn’t just data volume — it was also the complexity and variety of the datasets. Mapping these disparate sources into something actionable at scale felt like an impossible challenge without rethinking our platform entirely.”

“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.”

“We have to frequently replicate data from the data warehouse for analytics or AI. What we needed was a unified, single source of truth that could support business users, data scientists, machine learning or whatever new use cases came up in the future that we can’t anticipate today."

“Databricks has helped us to build a modern lakehouse that is future-proof, We now have improved data analytics and ML capabilities, improved collaboration between teams, and have the required security and governance controls in place to scale.”

"Mosaic was a game-changer for developing OLMo. Their platform allowed us to effortlessly scale up training and ablations when needed, while their command-line interface lets us iterate quickly by launching multi-node jobs right from our laptops."

“Databricks Mosaic AI has opened new possibilities for our contact centers to better serve our customers.”

“Databricks helps us to consolidate our disparate ML workflows on a single platform, which in turn improves our product velocity for customers.”

“With Databricks, we’re developing new products and granular insights — without compromising on data security and governance standards. This gives us the confidence to make faster decisions to best support critical use cases, from demand forecasting to customer personalization.”

“We needed to eliminate data duplication caused by consistency issues, which complicated the auditing, governance and security of data across multiple technologies. On top of that, different user profiles required different tools — data engineers preferred Scala, while data analysts worked with various versions of Spark using SQL or Python. This increased complexity and required more resources.”

“With Delta Lake and UniForm, we achieved a unified view of our data that is secure, cost-efficient, reliable and scalable. Everyone has the tools they need to access and utilize data efficiently and securely.”

“With serverless Databricks Workflows, we’ve achieved a 3–5x improvement in latency. What used to take 10 minutes now takes just 2–3 minutes, significantly reducing processing times. This has enabled us to deliver faster feedback loops for players and coaches, ensuring they get the insights they need in near real time to make actionable decisions.”

“The Databricks Data Intelligence Platform helps us manage and analyze our data more efficiently, support AI use cases and ensure the reliability of our AI models.”