I guess to add to Jason's point, it depends on how data engineers/data analysts are perceived in their roles within the company. For some companies, we see a data analyst taking end-to-end responsibility from the data engineering to BI, but for others we also see a clear separation, data engineers doing data pipelining and data modeling, but data analysts are, in fact, business analysts. Regardless, we think that SQL is the common interface for both of the parties, and we're excited to see who will be the power users.

Right now it's more for data analysts who's data eng team doesn't have the capacity to support all types of data processing requirements. Data analysts can just do it themselves simply with SQL! But we are also open to explore the opportunities for the data eng teams if we see a strong use case of automating their data pipelines.