You know, they are able to do their work with, you know, the system, guiding them through the whole journey, everything from detection to diagnosis to remediation. And that, we feel, is very powerful. And that’s actually, you know, something that our sales teams will often lead with when they are having a conversation around observability and security. You know, that demonstration, the ease of use that it brings to our overall platform is incredibly compelling, and we believe that that’s going to help us really change and improve our competitive positioning in both observability and security. And that’s something that we are seeing. You know, we are – I talked about the fact that we had, you know, many customers consolidate onto our platform, competitive wins where we displaced incumbents.
You know, a lot of those discussions we lead with the AI Assistant and how we showcase our platform. So that’s definitely something that I’m very excited about.
Janesh Moorjani: And Pinjalim, in terms of the observations on November, I think it’s a little too early to tell. November isn’t even over yet. And, you know, as we’ve said before, there can be fluctuations within a single month as we look at the pool of customers. So we tend not to rely too much on a single month of data. So I can’t share a specific view on November just yet, but I can tell you that the trends that we experienced in the quarter that I described earlier were broad-based and we felt very good about that in Q2.
Pinjalim Bora: Got it. Thank you.
Operator: The next question is from Brad Reback with Stifel. Please go ahead.
Brad Reback: Great. Thanks very much. Janesh, last year you had a really strong booking quarter as customers began to increase their commits. How should we think about that comp for this quarter?
Janesh Moorjani: Hi, Brad, your voice was a little bit muffled, but I think you were asking about year-over-year comps on – from a commitment standpoint.
Brad Reback: Yes.
Janesh Moorjani: And the way I think about – great. The way I think about that is, you know, customers are continuing to make commitments to Elastic. We’ve seen that strength in commitment as we think about just ongoing execution that we have, as we think about the engagement that our field teams have with them. Ash talked about all of the trends in generative AI that are continuing to provide a good tailwind to that. So, we feel very good about our overall position in front of customers. You know, in terms of how that translates into specific commitments for Q3, it’s too early to tell for that. And again, we aren’t going to sort of provide forward views on commitment or bookings-oriented measures. We feel very good about the revenue outlook we’ve provided and I think that continues to be the primary measure for us in the business.
Brad Reback: That’s great. And just a quick follow-up on something you said earlier on the SaaS side as customers are scaling to their committed levels, are those customers at their committed levels still below that and opportunity to move higher or are they consuming in excess of that? Thanks.
Janesh Moorjani: Yes, it’s obviously a broad pool of customers, so different customers will be at different stages. The point I was making earlier is that, as customers have been ramping, they’re approaching as a general matter, the levels of commitment that they had. We – there are obviously some customers within that that are consuming above those levels, and then it becomes a good opportunity for us to go and drive expansion conversations with them. And there are some customers that are still below those levels, but on balance, we’ve seen customers continuing to ramp as the quarter has progressed.
Brad Reback: Excellent. Thanks very much.
Operator: The next question is from Matt Hedberg with RBC Capital Markets. Please go ahead.
Matthew Hedberg: Great. Thanks for taking my questions and congrats from me as well. Ash, I was wondering, you know, on the initial GenAI interest, you know, obviously, there’s a lot of other competitors out there that have solutions. I’m sort of curious, you know, when customers are faced with a choice, you know, what is sort of that tipping factor thus far? Is it, you know, some of the role-level security? Is it, you know, just – I’m just sort of curious, are there some commonalities of why Elastic versus others at this point?
Ashutosh Kulkarni: Yes, absolutely. You know, I’d say I’d break it down to, you know, roughly four categories of clear differentiation that our customers keep telling us they see in our product and platform, you know, as they evaluate us against all the options out there and the reason why they choose us. The first and foremost is, and I hear this very consistently, that they find that our vector database functionality is absolutely stellar in terms of how it scales, in terms of the fact that it’s built deep into the platform, and it’s built in such a way that, you know, you get the benefit of all the other functionality that we’ve built over the years. So that’s first and foremost something that we hear over and over again.
The second thing that, you know, we are very proud of is, you know, generative AI, it’s more than just having a vector database, right. Because there’s so much more that you need to do in terms of finding absolutely the most relevant information to pass as context to the large language model. And that requires more than just a vector database, it requires you to have semantic search, hybrid search functionality because often that will result in the most optimized and most correct, you know, most relevant information, more advanced features like Reciprocal Rank Fusion. And this – you know, when you talk about context, there are even other things like personalization, geolocation, filtering, all of these aspects that you just get as part of it, along with the privacy and the role level security and so on, which you mentioned.
