“As we embarked on our data transformation journey, it was inevitable that we needed a robust modern data platform that could serve our needs. Data engineers needed to be able to easily process the large volumes of full metering data. Data scientists needed to be able to use that data to run experimentation models, and the business analysts needed to run queries and their own ad hoc analysis.”
"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."
"The best part is that we calculate that by using Databricks, we’ve saved around 90% of the cost of having a Spark cluster in our datacenter.”
“We couldn’t imagine growing our new business with all our decision-makers relying on our data analysts to build custom dashboards. With Databricks and ThoughtSpot, everyone can find their own answers in minutes.”
“When you’re competing with 20 and 50-year-old brands, you have to think differently, We wanted to be seen as modern, digital and easy to work with from the very beginning. We believed this approach would help us put the customer first in everything we do, so that we could quickly win loyalty and fill our planes.”
“The move from Hadoop to Databricks Lakehouse was the right choice — not only are we more collaborative and productive, but we have unlocked the ability to use machine learning to greatly improve our ability to innovate for our customers.”
“Our IT and data teams were more focused on maintaining our infrastructure than creating solutions and capabilities that could help the internal customers of our data platform extract value from the data, It was clear that we needed to rethink our technology stack to something better.”
“Unity Catalog accelerated our ability to make data easily and securely accessible to anyone in the company for BI and ML workloads with centralized access management and audit controls using familiar and standardized SQL grants.”
“Having our data stored in the same format under the same hood that powers some of the modeling and pipelines accessed through the warehouse — you can’t ask for anything better when it comes to governance, management and usability.”
“Databricks helps us pull together many different data sources, do aggregations, and bring the significant amount of data we collect from our buildings under control so we can provide customers value.”
“Without Databricks, we wouldn’t be able to process the sheer volume of data needed to help our customers develop better autonomous vehicle capabilities and drive their product roadmap. We now have a repeatable process to use across our growing client base.”
“Physicians and clinicians around the world need timely data as they make decisions about surgeries and other medical interventions. Databricks Lakehouse powers our data warehouse so that we can deliver the insights that drive better patient care.”
“Our clients are looking to us to provide insights and create solutions that will solve all kinds of problems. Having the flexibility to leverage the data and capabilities we have sitting in different products is something that can set us apart from other organizations. So I’m excited about what’s possible through the collaboration with Databricks.”
“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.”
“Moving off our legacy architecture and onto Databricks Lakehouse Platform helped us streamline our workflows and reduce costs. With Databricks and dbt, we’re confident about rolling out the powerful new features our customers have been waiting for.”