513 Databricks Testimonials

"Migrating from an on-premises infrastructure to Databricks on AWS was key to unlocking the possibilities of our data and enabling our data team to thrive.”

“Thanks to Databricks Lakehouse, we can support real-time business decision-making based on data analysis results that are automatically updated on an hourly and daily basis, even as data volumes have increased by nearly 1,000 times.”

"The in-line code generator transformed our workflow, shifting us from being 'coders' to 'AI Directors."

“The Elsevier Labs team developed a Databricks application for us that provides deep insight into suspicious usage of one of our databases. The application enabled my team to work much more effectively with customers to identify security breaches of their environments, and reduce content theft much sooner than we had been able to do so previously."

“We used to have to do a lot of manual data transfer between systems using primitive tools such as FTP or s3cmd to support different kinds of analysis. Databricks eliminated that by allowing us to access our data, develop complex algorithms, and share our findings in a single platform. The productivity of the entire team increased after we started using Databricks, shortening the time to complete typical projects from weeks to days.”

“Our feature extraction process for machine learning used to take days. With Databricks, we routinely do it in a matter of hours, if that.”

“Databricks is a key component of LendUp’s data infrastructure. It helps us quickly prototype data applications and reduces the time to deploy a production pipeline from weeks to just a few days.”

"Databricks’ unified platform has helped foster collaboration across our data science and engineering teams which has impacted innovation and productivity."

"Agility and flexibility were critical for us to successfully support our data science and engineering goals. Moving to Databricks’ Unified Analytics Platform to run 100% of our workflows has been a huge boost for our business and our customers."

"Having an agile innovation workflow is critical for McGraw-Hill Education. Databricks Unified Analytics Platform is at the center of our ecosystem and underpins our innovation pipeline and workflows."

"Databricks lets us focus on business problems and makes certain processes very simple. Now it’s a question of how do we bring these benefits to others in the organization who might not be aware of what they can do with this type of platform."

"Our legacy analytics framework was very input/output intensive and forced us to constantly write to disk. This issue is compounded exponentially when groups of consultants and analysts are concurrently using the same platform. Databricks gives us ondemand scalability and complete control over computing costs."

"With Databricks our engineering team can now rely on a single unified platform build and schedule jobs to run on a periodic basis and let analysts explore the data via the programming language of their choice."

"With Databricks, we have been able to significantly reduced query times on large data sets by a factor of ten, allowing data analysts to regain 20 percent of their workday. The Databricks platform offers our business an unparalleled level of simplicity, performance, and flexibility."

"Databricks provides us with a fully managed platform that makes it easy to ingest and process data at scale. This allows us to build predictive models across multiple variables to drive engagement and bookings."