Databricks

“Once we put all our data together inside Databricks, it became accessible for everybody, and we could expand how the data was used, producing results faster than before,”

“Databricks has helped Real Chemistry reduce the grunt work and allowed our team to focus more on their craft.”

“This is a culture change, in addition to being a technology change,” said Joanna Cohen, Data Community Manager and Data Transformation Program Lead. “Databricks helps by removing unnecessary barriers and giving teams permission-based access to data in a single catalog that's approved by all the data owners. That trust is essential to transforming not just our technology, but how we make decisions as a business.”

“Leveraging this prediction model in Databricks, we increased the yield from 60% to 92%. This helped us change the parameters within the manufacturing line, leading to a more successful production process and final product,”

“The improvements we've made with Databricks have led to increased trust in our data, which not only helps us make better decisions, it also enables us to avoid critical issues much earlier, before a crisis occurs,”

“In the case of a critical analysis, we would have to stop production for those days, so this improvement to 60 minutes has a huge impact,”

“Traceability with data lineage on Unity Catalog was a real breakthrough. Suddenly we could see the data flow from start to finish,”

““There is no comparable platform in the bank—or certainly commercial one—that works at this scale with the level of auditing and governance Databricks provides for us,” Moldovan said.”

““What we managed to achieve with Databricks was actually cheaper than the data lake we developed previously in-house, because a lot of functionality already existed.””

““Average workloads now run three to four times faster compared to our previous cloud solution, enabling analysts to ask more complex questions without worrying about execution limits.””

““In one extreme case, we had queries that were taking 30 days within our legacy infrastructure, and with Databricks SQL, we reduced them to about 12 minutes,” said Moldovan.”

“Everything is registered in Unity Catalog—there is no wild west in our data lake anymore,”

“People can explore what is displayed in Looker and then query that same data directly from the warehouse.”

“We just have one source of truth for our data warehouse,”

“I thought job clusters would be cheaper, but it surprised me that through serverless, we were more cost-efficient.”

“I didn’t expect that with Databricks SQL Serverless, we would achieve faster results with less cost,”

“Through using serverless, we were able to improve our SLAs for our reports because now the reports are landing almost one and a half hours earlier.”

“It gave us the clarity and organization to trust our data and the confidence to innovate on top of it.”

“Everyone can see and query the same tables, understand the structure and build insights directly.”

“It lets us apply relational principles at the same scale we already enjoyed in Databricks, and with tools our teams already know.”

“To move faster and collaborate more effectively, we needed our data to be relational and governed in a way that our teams and existing systems were already familiar with.”

“Databricks has made complex tasks easier and has allowed us to create a modern foundation for scaling AI innovation across the healthcare industry. Delivering AI through our continuously improving AI-ready data has been, and will remain, fundamental to our journey.”

“In less than three hours, consultants can now complete a patient flow analysis that previously could take days. Databricks SQL speed + AI (Genie) provides a critical edge when decisions must be made quickly.”

“With Teradata and Synapse, cost efficiency and concurrency became harder to optimize as usage increased at scale. We needed a platform that could grow with demand without adding operational complexity, while continuing to deliver strong performance. Planning for long-term support, Premier chose a modern platform to power future growth.”

“Not since Databricks came around have I experienced this level of collaboration between data engineers and data scientists. Bringing everything together has facilitated a real cultural change in how our technical teams work together,”