What do you like best about the product?

We originally had our data lake built on a Hive engine. One of the tings we like about Starburst Enterprise is the improvement it provided to our consumers by providing a powerful distributed SQL query engine built on a Trino engine, allowing fast querying across diverse data sources.

We also shifted away from an Enterprise Data Lake secured Privacera Ranger to a Data Mesh architecture governed by AWS Lake Formation. From a business and customer support perspective, Starburst were attentive to our technical/business requirements, feature requests, etc.

What do you dislike about the product?

One area of improvement for Starburst is to consider the rollout of GA features after undergoing somewhat further rigorous/comprehensive use case testing. Or alternatively, perhaps be more mindful with the language of GA vs Public Preview vs Private Preview.

What problems is the product solving and how is that benefiting you?

Starburst is providing our consumers a seamless and easy method to; scalable, high-performing, cross-data source federation solutions for many of their use cases. With our analytics community being empowered to continue developing more efficiently and productively, this overall reduces the time to market business impact

1) Cross-data source federation: Allows querying across multiple data sources simultaneously, including databases, data warehouses, and data lakes.
2) High performance: Optimized for fast query execution on large datasets through features like intelligent caching and query optimization.
3) Scalability: Can scale horizontally to handle growing data volumes and concurrent users.