513 Databricks Testimonials

“Our conventional analytics were not finding ways to influence positive change among our members. Now, through Databricks, we can better understand and act on the needs of our members.”

“Migrating from our cloud data warehouse to Databricks Data Intelligence Platform not only lowered our operational costs significantly, but it unlocked new opportunities to make our data actionable for analytics and machine learning — all with the goal of optimizing the home-buying, renting and financial experience.”

"We’re running 30,000 Spark jobs per month on Databricks to ingest, prepare and analyze our data. By using Databricks MLflow and Vertex AI, we’ve halved development time for new services and accelerated the rollout of new predictive machine learning (ML) models.”

"As a fast growing technology company, we are hyper-focused on solving the most challenging data problems and creating value for our customers. Databricks provides the advanced analytics capabilities to enable our teams to do just that."

"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 code with Spark clusters, resulting in faster detection and remediation of bugs and shorter release cycles."

"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 internet and alert when players experience a poor network connection."

"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."