“Using Databricks Lakehouse, we were able to create a self-serving data platform with data mesh at the core of the architecture. Databricks Lakehouse not only provided benefits from a data engineering perspective, but also offered strong security, governance, machine learning, artificial intelligence, and analytics capabilities. Databricks is the right fit for our needs.”
“We wanted to take our technology 10 years ahead. We had the vision to do everything in streaming technology without storing data — just requery the data live every time — but the tools we were using couldn’t get us there.”
"We’ve seen a 40% productivity uplift for data engineering — reducing the time it takes to develop new ideas from days to minutes and increasing the availability and accuracy of our data.”
“Migrating from Cloudera to Databricks Data Intelligence Platform gives us a modern architecture that we can build our future upon. With a unified approach to data and AI, the lakehouse helps us deliver unmatched financial advisory and planning to exceed client expectations.”
“We needed to migrate to an enterprise-grade cloud ecosystem that would allow us to do multiple things in one place. Machine learning, data governance and having that integrated view of our data were the driving forces behind our migration to Databricks."
“Our on-premises solution made it harder to analyze insights quickly. Databricks ingested our real-time data and allowed for quick experimentation to determine if an innovation project was feasible.”
“Setting up a centralized data platform from scratch in such a short time and making it work with our ERP’s existing data and processes was a real tour de force. Thanks to the unwavering enthusiasm of all project team members, internal and external, we can proudly say that this will be a lasting part of our data architecture.”
"The Databricks Data Intelligence Platform has served as the foundation for the Xanadu Decision Engine, giving us insights and recommendations that have transformed our decision-making capabilities, resulting in improved customer experiences and optimized sales processes."
“We employed Databricks to look at inventory and help optimize it. We are able to make smarter inventory decisions based on the data and analytics.”
“We need strong, scalable platforms to serve data to our customers, and Unity Catalog is really amping up our ability to do that.”
“With Databricks SQL, we can do business intelligence on big data, which was not possible before.”
“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.”
“Typical databases are designed for only one type of data, but lakehouse allows us to move much quicker.”
“We have aggregated data across a lot of different technologies over time. What we’re finding now is that the lakehouse has the best cost performance straight off.”
“We are excited about adopting Databricks' new Data Intelligence Platform to quickly and easily put Gen AI into use on our proprietary data. The simplification of using natural language when querying data stored in the lakehouse is a game changer and will be very useful in democratizing valuable business insights for our health system."
FeaturedCustomers has 1,829,316+ validated customer references
including reviews, case studies, success stories, customer stories,
testimonials and customer videos that will help you make better
software purchasing decisions.