544 Databricks Testimonials

“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.”

“Databricks Lakehouse provides Barilla’s entire data team with the means to quickly process and analyze terabytes of business data. This has cleared a path toward an operating model that is collaborative, highly efficient and environmentally sustainable, with the end goal to improve manufacturing operations.”

“Our clients can now be much more proactive instead of reactive, Now the rail network owners we support can identify issues much faster to prevent costly disruptions to their services.”

“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.”

“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.”

“Databricks was a big part of making sure we have a platform that can handle the immense scale ahead of us. How do we provide crisis counselors with all of the training and support they need in real time so that they can better help a person in need? We’re doing that with data-driven innovation, but now we want to take our products and services and cover more geographies and more people.”