(upbeat techno music) >> Hey everyone, and welcome back to theCUBE's coverage of Snowflake Summit '22 live from Caesar's Forum in beautiful, warm, and sunny Las Vegas. I'm Lisa Martin. I got the Chris and Chris show, next. Bear with me. Chris Degnan joins us again. One of our alumni, the Chief Revenue Officer at Snowflake. Good to have you back, Chris. >> Thank you for having us. >> Lisa: Chris Grusz also joins us. Director of Business Development AWS Marketplace and Service Catalog at AWS. Chris and Chris, welcome. >> Thank you. >> Thank you. >> Thank you. Good to be back in person. >> Isn't it great. >> Chris G: It's so much better. >> Chris D: Yeah. >> Nothing like it. So let's talk. There's been so much momentum, Chris D, at Snowflake the last few years. I mean the momentum at this show since we launched yesterday, I know you guys launched the day before with partners, has been amazing. A lot of change, and it's like this for Snowflake. Talk to us about AWS working together with Snowflake and some of the benefits in it from your customer. And then Chris G, I'll go to you for the same question. >> Chris G: Yep. >> You know, first of all, it's awesome. Like, I just, you know, it's been three years since I've had a Snowflake Summit in person, and it's crazy to see the growth that we've seen. You know, I can't, our first cloud that we ever launched on top of was, was AWS, and AWS is our largest cloud, you know, in in terms of revenue today. And they've been, they just kind of know how to do it right. And they've been a wonderful partner all along. There's been challenges, and we've kind of leaned in together and figured out ways to work together, you know, and to solve those challenges. So, been a wonderful partnership. >> And talk about it, Chris G, from your perspective obviously from a coopetition perspective. >> Yep. >> AWS has databases, cloud data forms. >> Chris G: Yeah. >> Talk to us about it. What was the impetus for the partnership with Snowflake from AWS's standpoint? >> Yeah, well first and foremost, they're building on top of AWS. And so that, by default, makes them a great partner. And it's interesting, Chris and I have been working together for, gosh, seven years now? And the relationship's come a really long way. You know, when we first started off, we were trying to sort out how we were going to work together, when we were competing, and when we're working together. And, you know, you fast forward to today, and it's just such a good relationship. Because both companies work backwards from customers. And so that's, you know, kind of in both of our DNA. And so if the customer makes that selection, we're going to support them, even from an AWS perspective. When they're going with Snowflake, that's still a really good thing for AWS, 'cause there's a lot of associated services that Snowflake either integrates to, or we're integrating to them. And so, it's really kind of contributed to how we can really work together in a co-sell motion. >> Talk to us, talk about that. The joint GOTO market and the co-selling motion from Snowflake's perspective, how do customers get engaged? >> Well, I think, you know, typically we, where we are really good at co-selling together is we identify on premise systems. So whether it's, you know, some Legacy UDP system, some Legacy database solution, and they want to move to the cloud? You know, Amazon is all in on getting everyone to the cloud. And I think that's their approach they've taken with us is saying we're really good at accelerating that adoption and moving all these, you know, massive workloads into the cloud. And then to Chris's point, you know, we've integrated so nicely into things like SageMaker and other tool sets. And we, we even have exciting scenarios where they've allowed us to use, you know, some of their Amazon.com retail data sets that we actually use in data sharing via the partnership. So we continue to find unique ways to partner with our great friends at Amazon. >> Sounds like a very deep partnership. >> Chris D: Yeah. Absolutely. >> Chris G: Oh, absolutely, yeah. We're integrating into Snowflake, and they're integrating to AWS. And so it just provides a great combined experience for our customers. And again, that's kind of what we're both looking forward from both of our organizations. >> That customer centricity is, >> Yeah. >> is I think the center of the flywheel that is both that both of you, your companies have. Chris D, talk about the the industry's solutions, specific, industry-specific solutions that Snowflake and AWS have. I know we talked yesterday about the pivot from a sales perspective >> Chris D: Yes. >> That snowflake made in recent months. Talk to us about the industries that you are help, really targeting with AWS to help customers solve problems. >> Yeah. I think there's, you know, we're focused on a number of industries. I think, you know, some of the examples, like I said, I gave you the example of we're using data sharing to help the retail space. And I think it's a really good partnership. Because some of the, some companies view Amazon as a competitor in the retail space, and I think we kind of soften that blow. And we actually leverage some of the Amazon.com data sets. And this is where the partnership's been really strong. In the healthcare space, in the life sciences space, we have customers like Anthem, where we're really focused on helping actually Anthem solve real business problems. Not necessarily like technical problems. It's like, oh no, they want to get, you know, figure out how they can get the whole customer and take care of their whole customer, and get them using the Anthem platform more effectively. So there's a really great, wonderful partnership there. >> We've heard a lot in the last day and a half on theCUBE from a lot of retail customers and partners. There seems to be a lot of growth in that. So there's so much change in the retail market. I was just talking with Click and Snowflake about Urban Outfitters, as an example. And you think of how what these companies are doing together and obviously AWS and Snowflake, helping companies not just pivot during the pandemic, but really survive. I mean, in the beginning with, you know, retail that didn't have a digital presence, what were they going to do? And then the supply chain issues. So it really seems to be what Snowflake and its partner Ecosystem is doing, is helping companies now, obviously, thrive. But it was really kind of like a no-go sort of situation for a lot of industries. >> Yeah, and I think the neat part of, you know, both the combined, you know, Snowflake and AWS solution is in, a good example is DoorDash, you know. They had hyper growth, and they could not have handled, especially during COVID, as we all know. We all used DoorDash, right? We were just talking about it. Chipotle, like, you know, like (laughter) and I think they were able to really take advantage of our hyper elastic platforms, both on the Amazon side and the Snowflake side to scale their business and meet the high demand that they were seeing. And that's kind of some of the great examples of where we've enabled customer growth to really accelerate. >> Yeah. Yeah, right. And I'd add to that, you know, while we saw good growth for those types of companies, a lot of your traditional companies saw a ton of benefit as well. Like another good example, and it's been talked about here at the show, is Western Union, right? So they're a company that's been around for a long time. They do cross border payments and cross currency, you know, exchanges, and, you know, like a lot of companies that have been around for a while, they have data all over the place. And so they started to look at that, and that became an inhibitor to their growth. 'Cause they couldn't get a full view of what was actually going on. And so they did a lengthy evaluation, and they ended up going with Snowflake. And, it was great, 'cause it provided a lot of immediate benefits, so first of all, they were able to take all those disparate systems and pull that into Snowflake. So they finally had a single source of the truth, which was lacking before that. So that was one of the big benefits. The second benefit, and Chris has mentioned this a couple times, is the fact that they could use data sharing. And so now they could pull in third data. And now that they had a holistic view of their entire data set, they could pull in that third party data, and now they could get insights that they never could get before. And so that was another large benefit. And then the third part, and this is where the relationship between AWS and Snowflake is great, is they could then use Amazon SageMaker. So one of the decisions that Western Union made a long time ago is they use R for their data science platform, and SageMaker supports R. And so it really allowed them to dovetail the skill sets that they had around data science into SageMaker. They could now look across all of Snowflake. And so that was just a really good benefit. And so it drove the cost down for Western Union which was a big benefit, but the even bigger benefit is they were now able to start to package and promote different solutions to their customers. So they were effectively able to monetize all the data that they were now getting and the information they were getting out of Snowflake. And then of course, once it was in there, they could also use things like Tableau or ThoughtSpot, both of which available in AWS Marketplace. And it allowed them to get all kinds of visualization of data that they never got in the past. >> The monetization piece is, is interesting. It's so challenging for organizations, one, to get that single source view, to be able to have a customer 360, but to also then be able to monetize data. When you're in customer conversations, how do you help customers on that journey, start? Because the, their competitors are clearly right behind them, ready to take first place spot. How do you help customers go, all right this is what we're going to do to help you on this journey with AWS to monetize your data? >> I think, you know, it's everything from, you know, looking at removing the silos of data. So one of the challenges they've had is they have these Legacy systems, and a lot of times they don't want to just take the Legacy systems and throw them into the cloud. They want to say, we need a holistic view of our customer, 360 view of our customer data. And then they're saying, hey, how can we actually monetize that data? That's where we do everything from, you know, Snowflake has the data marketplace where we list it in the data marketplace. We help them monetize it there. And we use some of the data sets from Amazon to help them do that. We use the technologies like Chris said with SageMaker and other tool sets to help them realize the value of their data in a real, meaningful way. >> So this sounds like a very strategic and technical partnership. >> Yeah, well, >> On both sides. >> It's technical and it's GOTO market. So if you take a look at, you know, Snowflake where they've built over 20 integrations now to different AWS services. So if you're using S3 for object storage, you can use Snowflake on top of that. If you want to load up Snowflake with Glue which is our ETL tool, you can do that. If you want to use QuickSite to do your data visualization on top of Snowflake, you can do that. So they've built integration to all of our services. And then we've built integrations like SageMaker back into Snowflake, and so that supports all kinds of specific customer use cases. So if you think of people that are doing any kind of cloud data platform workload, stuff like data engineering, data warehousing, data lakes, it could be even data applications, cyber security, unistore type things, Snowflake does an excellent job of helping our customers get into those types of environments. And so that's why we support the relationship with a variety of, you know, credit programs. We have a lot of co-sell motions on top of these technical integrations because we want to make sure that we not only have the right technical platform, but we've got the right GOTO market motion. And that's super important. >> Yeah, and I would add to that is like, you know one of the things that customers do is they make these large commitments to Amazon. And one of the best things that Amazon did was allow those customers to draw down Snowflake via the AWS Marketplace. So it's been wonderful to his point around the GOTO market, that was a huge issue for us. And, and again, this is where Amazon was innovative on identifying the ways to help make the customer have a better experience >> Chris G: Yeah. >> Chris D: and put the customer first. And this has been, you know, wonderful partnership there. >> Yeah. It really has. It's been a great, it's been really good. >> Well, and the customers are here. Like we said, >> Yep. >> Yes. Yes they are. >> we're north of 10,000 folks total, and customers are just chomping at the bit. There's been so much growth in the last three years from the last time, I think I heard the 2019 Snowflake Summit had about 1500 people. And here we are at 10,000 plus now, and standing-room-only keynote, the very big queue to get in, people turned away, pushed back to an overflow area to be able to see that, and that was yesterday. I didn't even get a chance to see what it was like today, but I imagine it was probably the same. Talk about the, when you're in customer conversations, where do you bring, from a GTM perspective, Where do you bring Snowflake into the conversation? >> Yeah >> Obviously, there's Redshift there, what does that look like? I imagine it follows the customer's needs, challenges. >> Exactly. >> Compelling events. >> Yeah. We're always going to work backwards from the customer need, and so that is the starting point for kindling both organizations. And so we're going to, you know, look at what they need. And from an AWS perspective, you know, if they're going with Snowflake, that's a very good thing. Right? 'Cause one of the things that we want to support is a selection experience to our AWS customers and make sure that no matter what they're doing, they're getting a very good, supported experience. And so we're always going to work backwards from the customer. And then once they make that technology decision, then we're going to support them, as I mentioned, with a whole bunch of co-sell resources. We have technical resources in the field. We have credit programs and in, you know, and, of course, we're going to market in a variety of different verticals as well with Snowflake. If you take a look at all the industry clouds that Snowflake has spun up, financial services and healthcare, and media entertainment, you know, those are all very specific use cases that are very valuable to an AWS customer. And AWS is going more and more to market on a vertical approach, and so Snowflake really just fits right in with our overall strategy. >> Right. Sounds like very tight alignment there. That mission alignment that Frank talked about yesterday. I know he was talking about that with respect to customers, but it sounds like there's a mission alignment between AWS and Snowflake. >> Mission alignment, yeah. >> I live that every week. (laughter) >> Sorry if I brought up a pain point. >> Yeah. Little bit. No. >> Guys, what's, in terms of use cases, obviously we've been here for a couple days. I'm sure you've had tremendous feedback, >> Chris G: Yeah. >> from, from customers, from partners, from the ecosystem. What's next, what can we expect to hear next? Maybe give us a preview of re:Invent in the few months. >> Preview of re:Invent. Yeah. No, well, one of the things we really want to start doing is just, you know, making the use case of, of launching Snowflake on AWS a lot easier. So what can we do to streamline those types of experiences? 'Cause a lot of times we'll find that customers, once they buy a third party solution like Snowflake, they have to then go through a whole series of configuration steps, and what can we do to streamline that? And so we're going to continue to work on that front. One of the other places that we've been exploring with Snowflake is how we work with channel partners. And, you know, when we first launched Marketplace it was really more of an app store model that was ISVs on one side and channel partners on the other, and there wasn't really a good fit for channel partners. And so four years ago we retrofitted the platform and have opened it up to resellers like an SHI or SIs like Salam or Deloitte who are top, two top SIs for Snowflake. And now they can use Marketplace to resell those technologies and also sell their services on top of that. So Snowflake's got a big, you know, practice with Salam, as I mentioned. You know, Salam can now sell through Marketplace and they can actually sell that statement of work and put that on the AWS bill all by virtue of using Marketplace, that automation platform. >> Ease of use for customers, ease of use for partners as well. >> Yes. >> And that ease of use is it's no joke. It's, it's not just a marketing term. It's measurable and it's about time-to-value, time-to-market, getting customers ahead of their competition so that they can be successful. Guys, thanks for joining me on theCUBE today. Talking about AWS and >> Nice to be back. Nice to be back in person. >> Isn't it nice to be back. It's great to be actually sitting across from another human. >> Exactly. >> Thank you so much for your insights, what you shared about the partnership and where it's going. We appreciate it. >> Thank you. >> Cool. Thank you. >> Thank you. >> All right guys. For Chris and Chris, I'm Lisa Martin, here watching theCUBE live from Las Vegas. I'll be back with my next guest momentarily, so stick around. (Upbeat techno music)

(bright music) >> Hey everyone, welcome back to theCUBE's continuing coverage of Snowflake Summit 22, live from Caesar's Forum in Las Vegas. I'm Lisa Martin here with about 7,000 plus folks, and this next Cube segment, two words, girl power. Please welcome one of our alumni back to the program, Colleen Kapase, SVP, Worldwide Partners and Alliances at Snowflake and Poornima Ramaswamy, EVP of Global Partnerships and Chief of Staff to the CEO. Ladies, welcome to the program! >> Thank you, very happy to be here, amazing event! >> Isn't it? It's so great to see this many people. Yesterday, the keynote, we got in barely, standing room only. I know there was at least one overflow room, maybe two. People are chomping at the bit to hear what Snowflake and its ecosystem has been up to the last three years, since 2019. >> It's been phenomenal! Since the last time we met together, as humans coming together, and then seeing the step function growth three years later, I don't think, we didn't grow gradually. We just jumped three years ahead, and people have just been hungry for the information and the sharing and the joint education, so it's been a phenomenal show. >> It has been, Poornima, talk to us about the Qlik partnership with Snowflake. What's it all about? What's your joint vision, your joint strategy? Give us all that good stuff. >> Sure, so speaking of three years, this relationship has been in existence for the last three years. We were at the last Snowflake Conference in 2019, and I liked what Frank said, even though we were not in-person in life the innovation has continued and our relationship has strengthened over the last three years as well. So it's interesting that everything that Frank and everything that was mentioned at the keynote yesterday is completely in alignment with Qlik's vision and strategy as well. We are focused on making data available for quick decision making, in a timely manner, for in the moment business decisions as such. The world has gone topsy-turvy in the last two years, so you want to know things that are changing as they happen and not one day late, one month late or one quarter late, because then the world's already passed you, that business moment has passed you. That's been our focus. We've got a dual product strategy and portfolio. We collaborate really strongly with Snowflake on both of those to make the most amount of data, made available on the Snowflake platform in the shortest amount of time, so that it's fresh, and it's timely for business decision makers to get access to it, to make decisions as they are dealing with supply chain challenges and people challenges and so on and can make those moments count as such. >> They have to, one of the things that we've learned in the pandemic is access to real-time data is no longer a, oh, that's great, nice to have. It's table stakes for businesses in every industry. Consumer expectations have risen to a level we've probably never seen, and let's face it, they're not going to go down. Nobody's going to want less data, slower. (laughs) Colleen, talk about the Qlik partnership from your Snowflake's perspective. >> Yeah, it's been fabulous, and we started on the BI side and keep evolving it, frankly with more technology, more solutions, making that real-time access, not just the the BI side of having the business intelligence and seeing the data but moving beyond that to the governance side, and that's such a huge piece of the relationship as well, and the trustworthy that executives have with the data, who's seeing it and how are we leveraging it, and we keep expanding that too and having some fun too. I know you guys have been making some acquisitions. >> Talk to us about what's going on at Qlik and some news today as well, acquisitions news, what's the deal? >> Yeah, so like I mentioned, we have a dual product strategy, a Qlik data integration platform and a Qlik analytics platform. And we are strengthening, making sure that we align with Snowflake's vision of all workloads, SaaS only and governed. So the announcement today was we do provide real-time data using our Qlik data integration platform into Snowflake, but that real-time data has to make its way into the hands of the business decision makers as well. So we launched what we call as direct query into Snowflake, so as and when data gets into the Snowflake platform, now customers for specific use cases can choose to access that data as it comes in by accessing it directly on Snowflake. And there are other use cases where the data's already been prepared and so on, and they'll continue using the Qlik analytics platform, but this direct query access will make a world of difference in terms of that active intelligence, in-the-moment decision making. The second announcement that we did was the SaaS first and going all into SaaS, so we are doing our data movement investments in our SaaS platform, and one of our first investments is on the Snowflake platform, going direct into Snowflake, and our data ingestion now, our data replication real-time is going to be available natively into the Snowflake platform through our SaaS data transformation investment that we've made. So those are the two big announcements, and governance has been the cornerstone for our platform end-to-end, right from the beginning, and that strength continues, and that's, again, completely in alignment with the vision that Snowflake has as well. >> I couldn't agree more, that native integration, we used to think about bringing the data to the work, and now it's bring the work to the data, because that's the secure environment, the governed environment, and that's what we're seeing with our product roadmaps together and where we're going, and it gives customers just peace of mind. When you're bringing the work to the data, it's more secure, it's more governed, and that real-time access, it's speed, because boy, so many executives have to make real-time decisions quickly. The world is moving faster than it ever has before, and I've never had an executive say, "Oh yeah, I'll just wait and get the data later." That's not a conversation they have. I need it, and I need it now, and I need it at my fingertips, and I need more of my entire organization to have access to that data, what I feel secure and safe to share with them. And so, having Qlik make that possible is just fantastic. >> The security piece is absolutely critical. We've seen such changes to the threat landscape in the last couple of years. It's no longer now a, if we get hit by a cyber attack, it's a matter of when. And the volume of data just keeps proliferating, proliferating, proliferating, which obviously is not going to slow down either. So having the governance factor, the ability to share data securely, leveraging powerful analytics across to customers and partners and ecosystem, it sounds like to me a pretty big differentiator of what Snowflake is delivering to its customers and the ecosystem. >> It is, and I would say one of the things that has held folks back from moving to the cloud before, was governance. Is this just going to be a free for all, Lisa? I'm not feeling secure with that. And so, having the ability to extend our ecosystem and work on that governance together gives executives peace of mind, that they can easily determine who's going to have access to what, which makes a transition to the cloud faster. And that's what we're looking for, because to have our customers experience the benefits of cloud and the moving up and moving down from a data perspective and really getting access to the data cloud, that's where the nirvana is, and so you guys are helping make that possible and provide that peace of mind, so it's amazing. >> You talk about peace of mind, and it's one of those things we think, oh, it's a marketing term or it's a soft term. It's actually not, it's completely measurable, and it's something that I talk to a lot of C-suite, and the statement of "I sleep better at night," is real. There's gravity with it, knowing that they can trust where the data is. The access is governed. It just keeps getting more and more critical every day. >> Colleen: Well, it's a newsworthy event, frankly- >> Absolutely, nobody wants don't to be a headline. >> If things don't go right, that's people's jobs on the line that's reputations, and that's careers, so that is so important, and I think with a lot of our customers that's our conversations directly of how can you ensure that this is going to be a secure experience? And it's Snowflake and some of our superpowers, and frankly, some of our partners superpowers too, together it's better. >> I can bring this home with a customer example, a couple of customer examples. So Urban Outfitters, I think they're a well-known brand. They've got about 650 stores, to your point on governed autonomy is what I call it. But then it's not just about helping with decision making at the top. You want to be able to make decision making at all levels, so we speak about data democratization. It's about not just strategic decisions that you make for a two-year timeframe or a five-year timeframe. It's about decisions that you want to make today in the first half of the day versus the second half of the day. So Urban Outfitters is a common customer, and during the pandemic they had to change their in-stores into distribution centers. They had to look at their supply chain landscape, because there were supply chain bottlenecks that are still happening today. So, with the power of both Qlik data integration and Qlik analytics, but then the combined power of Qlik and Snowflake, the customer actually was able to make insights available to their in-store managers, to their distribution centers, and from a time perspective, what used to take them days, or, in fact, sometimes even weeks, they're now able to get data in 15 minutes refresh time for their operational decision makers, their distribution centers and their order taking systems, so they're able to make decisions on which brands are moving, not moving. Do they need to change the product position in their stores? Do they need to change their suppliers today? Because, for what's going to be in their inventory one month later, because they are foreseeing, they're able to predict the supply chain bottlenecks that are coming in. They're able to do all of that today because that power of a governed autonomous environment that we've built but real-time data making fresh data available through Snowflake and easy-to-use dashboards and visualization through the analytics platform that we've got. And another customer ABB, 37 different SAP source systems being refreshed every two minutes, worldwide for B2B transactions to be able to make all of those decisions. >> And what you're talking about there, especially with their Urban Outfitters example, I think that's one that everybody as a consumer of clothing and apparel, what you just described, what Qlik and Snowflake enabled there, that could have very well saved that organization. We saw a lot of retailers that were not able to make that pivot. >> Poornima: Yep, no, and it did. >> You are exactly right. I think the differentiation on a lot of our core customers together of combing through, not just surviving but thriving through the pandemic, access to data and supply chain management, and it's these types of solutions that are game changing, and that's why Snowflake's not being sold just to the IT department, it's the business decision makers where they have to make decisions, and one of the things that surprised us the most was we had the star schema COVID data up on our data marketplace and the access to that, that we had our customers to determine supply chain management. What's open? What are the rules per state, per region? Where should we put supply? Where should we not? It was phenomenal. So when you have tools like what Qlik offers together with that data coming through the community, I think that's where a lot of executives experience the power of the data cloud, and that's what we want to see. And we're helping real businesses. We say we want to drive outcomes. Supply chain management was a massive outcome that we helped over the last two years. >> And that was critical, obviously we're still in that from a macro economic perspective. It's still a challenge for a lot of folks, but it was life and death. It was, initially, how do we survive this? And to your point, Colleen, now we've got this foundation, now we can thrive, and we can leave the competition who wasn't able to move this fast in the dust behind us. >> A foreseen function for change, really, and then that change wasn't just different, it was better. >> Yeah, it is better, and it now sets the foundation for the next stage of innovation, which is auto ML and AI ML. You're looking back, you're saying, "Okay this is all the data, "so these are the decisions I had to make in the moment." But then now they can start looking at what are the midterm and the long term strategic decisions I have to make, because I can now predict what are the interconnectedness or the second secondary level and the tertiary level impact for worldwide events. There's a pandemic. We are passed the pandemic. There's flood somewhere. There's fire somewhere. China shuts down every so often. You need new suppliers. How do you get out of your way in terms of making daily decisions, but start planning ahead? I think auto ML, AI ML, and data's going to be the foundation for that and real-time data at that. So what Snowflake's doing in terms of the investment in that space, and Qlik has acquired companies in the auto ML space and driving more automation, that time-to-business value and time-to-predictive insights is going to become very key. >> Absolutely key and also really a lifeline for organizations to be able to do that. >> And I have to say, it's a source of pride for us to see our partners growing and thriving in this environment too. Like some of these acquisitions they're making, Lisa, in the machine learning space, it's awesome. This is where customers want to go. They've got all this fabulous data. They now know how to access it real time. How do I use queries to make me smarter? How do I use this machine learning to look at a vast amount of data in a very real time fashion and make business decisions from? That's the future, that's where we're going. So to see you guys expand from BI, to governance, to machine learning, we're really, Lisa, watching companies in our ecosystem grow as we grow, and that's the piece I take a lot of personal pride in, and it's the fun part of the job, frankly. >> Yeah, as you should take part in that, and that's something too, that's been thematic the last... We were recovering this show yesterday and today that the growth and the substance of the Snowflake ecosystem. You see it, you feel it, and you hear it. >> Yeah, well in Frank Slootman's book, "Amp It Up," there's actually a section that he talks about, because I think he has some amazing lifelong advice on his journey of growth, and he tells us that, "Hey you can attach your company, "your personal career energy to an elevator going up "and a company and a high growth story "or a flat or declining." And it's harder in a flat and declining space, and Snowflake we certainly see as an elevator skyrocketing up and these organizations surrounding us with their technologies and capabilities to have joint outcomes, they're doing fantastic too. I've heard this story over and over again this week. I love seeing this story too with Qlik, and it's just amazing. >> I bet, Ladies, thank you so much for joining me, talking about the Snowflake-Qlik partnership, the better together power, and also, you're just scratching the surface. The future, the momentum, you can feel it. >> Yeah, I love it. >> We appreciate your insights and your time and good luck! >> Thank you, thank you. >> And let's let the girl bosses go! (laughs) >> Exactly! (laughs) For my girl boss guests, I'm Lisa Martin. You're watching theCUBE's coverage of Snowflake Summit 22, live from Caesar's Forum in Las Vegas. I'll be right back with my next guest. (bright music)