“We primarily use Starburst for reporting and dashboard queries, but the platform supports a variety of use cases, including ad-hoc queries, complex queries, and some exploratory, machine learning, and data science activity. We’ve even started using it to serve A/B testing experiment results and for real-time reporting and visualization. ”

“There are two main consequences [of deploying Starburst] that are of great significance for the data office teams: the impact on productivity and the internal user satisfaction, which has improved due to the ease of using Starburst. ”