Q Um, and, uh, maybe one last question from me. What is the, uh, relationship between Databricks and the Spark community specifically? Uh, what percentage of, uh, the contribution do you think are, uh, produced by Databricks as opposed to the rest of the community?
A Yeah, so right now we have a great community where we have, ah, we exceeded 500 contributors. Um, it is the most active big data project right now, Spark. Ah, and a lot of contributions, still the majority of contributions comes from Databricks. And, ah, from the Databricks, you know, it's, ah, Uh, as a strategy, you know, it's, it's a two-step strategy. Like, like, first step, just to be very clear, we want Apache Spark to be highly successful. Uh, and everyone to use it. The more people use it, you know, the more potential customers have for the Databricks cloud. Uh, we don't have our own distribution. We provide only the service. And therefore, we partners, we collaborate with everyone, and we help everyone who wants to distribute Spark. Also, we, ah, try pretty hard, ah, in order to, ah, fuel the growth of the ecosystem. Ah, so we have certification programs, both for the application and for the distribution. So therefore, you know, every certified application will run on any certified SPAR distribution. Ah, this is also, will alleviate the risk of fragmentation. Ah, So, you know, really we do a lot of work and we spend a lot of resources for making Apache Spark successful.
AI assessment note: “still the majority of contributions comes from Databricks”