 What's your packaging strategy? You guys offer free stuff open stuff. Can you we've been talking about that all week? So talk about you know how you approach that and what your philosophy is so we You know at the core is is the open-source project are and then we add capabilities on top of that And we provide our own distribution of our called revolution our enterprise And that is what we sell into Enterprises and corporations We do have The packages that we recently Released in September that work with Hadoop. We put those in the open source are available on GitHub for download for usage And we're going to continue to update that project. So we have a little bit of both where we have enterprise Features that we package and put in our own distribution of our for for sale to enterprise customers And then we have stuff that we put in the open source and then all of our software is free to academics So we're encouraging the academic community to get involved in some of the stuff that we're building and make use of it So okay, so your model is core is open source layer some some not open source stuff on top of that that you charge for And keep contributing to the community. Is that I mean it seems to be the right balance, right? A lot of people have have criticized those who don't put things into the open source So what is this community sort of it's almost like table stakes. It's an ante to get into this Yeah, I mean you have to be You have to realize that you know, you're you're making your business on top of an open source project And therefore you've got to embrace the community. Otherwise, you know, there's going to be Potential problems there. So we we really do embrace new what's good for our is good for us And what's we try to make sure that what what we do is good for our as well in the same message Cloudera and Hortonworks have for Hadoop and other vendors with it grows the market You guys take advantage of that, you know, SLA level support and needs that the same kind of business model Yeah, exactly. I mean if we you know, we feel like if we can help embed our into these bigger corporations and enterprises That's good for our that's good for the community. That's good for you know, making establishing our as the lingua-franca of statistical and data analysis Okay