“We have increased work productivity by streamlining data analysis and reporting and improving the accuracy and timeliness of data-driven decision-making through integrated data management."

“With more visibility into our customers, we have the opportunity to deliver products and services that meet them wherever they are in their financial journey."

"Databricks offers a very powerful visualization tool that allows us to dig into the data. This powers our datadriven discovery process and helps us decide which features to build first. The integrated workspace allows several people in the team to review the code and visualizations, make suggestions, and fix problems …

"Not having a way to automate our Spark production environment forced our team to rely on their local machines for development and testing, causing more bugs and longer development cycles. Databricks enabled us to build a continuous integration environment easily — now every member of the team can automatically test …

"We were able to take a tool that previously would have been fairly localised to a single region and turn that into a global product which actually is now becoming the foundation for the way our inventory analysts will now do their work."

"With Databricks we have been able to reduce the time it takes to ETL massive amounts of data from weeks to just a few hours."

"With the Databricks environment and the notebooks and the richness of the languages and the possibilities of that, we have one cohesive end-to-end process with one single unified team working on these various aspects together."

"We use Apache Spark™ and Databricks to augment our data analytics and data science programs. Specifically, we highlight how Spark has significantly decreased SQL query times when reading from our large HIVE data stores, providing a massively popular recommender system for our players, and using Spark streaming to monitor the …

"Databricks has provided us with the flexibility and agility necessary to attack our problems at enterprise scale with low operational complexity."

"We were able to integrate Databricks with Tensorflow and Keras in a few clicks. And a 30+ node cluster would be up in less than four minutes."

"Working in Databricks is like getting a seat in first class. It’s just the way flying (or data science-ing) should be."

"With Databricks, we get the secured, easy access to the data without worrying about the engineering behind it."

"The ETL processing that we were doing used to take three hours every night. And right now with Databricks, it runs in less than 10 minutes."

"Databricks allows us to quickly process and analyze data, run machine learning, support both batch and streaming, and most importantly, scale on-demand."

"Databricks has helped reduce operational cost through improved cluster management, reducing the amount of time clusters are running by nearly 50%."