Shay Banon
Analyst · Barclays
Thank you, Anthony. Welcome everyone to the call. It's great to be here and share the results of our first quarter in our new fiscal year. Overall, we saw a great start to fiscal 2020. With strong momentum and growth. We continued to execute well on our strategy, which is resonating with our users and customers, as they rapidly adopt our broad portfolio of products. In Q1, revenue grew 62% year over year on a constant currency basis. We had more than 8,800 subscription customers at the end of the quarter, which included over 475 with annual contract value of more than $100,000 and our net expansion rate continues to be over 130%. But before Janesh covers our financial performance from the quarter, I'd like to talk about some highlights, and I thought I'd start with our preview of Elastic SIEM from our 7.2 release. This is a new product that gives users accurate security analytics experience for ingesting, analyzing, and visualizing security related data. One thing I find exciting about Elastic SIEM is that you don't have to be a security analyst to get value from it. To say you're a DevOps doing logging with Elastic version 7.2, you can simply click over to the [indiscernible] in Kibana and automatically see an overview of various datasets, including KPIs for number of hosts, sales logins, and more. You didn't have to install or configure anything, it's all just there and just works. You can even go a step further with an interactive drag and drop experience to deconstruct and document a timeline of events that you can then share with teammates from a single UI or as of our 7.3 release, you can use our Platinum level machine learning features to automatically detect and alert on cyber threats originating from events like unusual login activity. For this initial release, we collaborated extensively with a community from working on integrations with enterprise level firewalls data sources like Palo Alto Networks and Cisco ASA to popular open source network monitoring and intrusion detection systems like Zeek and Suricata. It's been humbling to see the level of contributions. We've also seen validation from other companies like [indiscernible] and Endgame, and we are excited that Perched a security analytics operations and threat hunting company will be joining Elastic to further expand our product, consulting, and training capabilities in the space. There's a lot of excitement within the community as well. A few weeks back, I attended Blackhat, a premiere cybersecurity conference in Las Vegas. I had a sense for what to expect, although I'm still processing the handful of actual magicians I saw on the conference floor. But it was fascinating to see how prevalent the commercial and closed product approach is in the security market. I find it refreshing that we are offering a proprietary same product that is both free and open through our basic subscription. Customers with a gold or platinum subscription can get additional value from paid features like machine learning, as well as support, and for users looking to run it as a SaaS offering, Elastic SIEM is only available to our Elastic Cloud. So, while what we demoed at our booth at Blackhat was an initial release, focused on host and network data, the excitement from visitors at our booth was noticeable throughout the event. There was a lot of questions about integrations including those for Endgame’s endpoint security product. I also saw a lot of engagement around the Endgame’s demo of a new integration with our Stack, where users can run our Elastic SIEM experience on top of endpoint data. So this leads me to imagine all the possibilities for new and existing customers to streamline and enhance their security analytics use cases. For example, this could apply to the US Navy or software company smart sheet, or French financial institution group BPCE, all of whom closed business with us for this use-case in Q1, or even ASB Bank in New Zealand, who expanded business with us this quarter, primarily for the use of security logging and analytics, effectively replacing their existing SIEM. In the US public sector, we closed new business with the US Defense Information Systems agency. They replaced their legacy SIEM solution with Elastic to power security analytics for the joint regional security staff program. This is a part of the DoD strategy to modernize and improve network security, reduce attack surface, and improve situational awareness, insuring timely delivery of critical information to war fighters around the globe. Elastic was also selected for use with the US Department of Homeland Security Continuous Diagnostic And Mitigation or CDM dashboard, as part of the solution proposed by our partner ECS. CDM deploys tools to every civilian agency to increase their cyber security posture by ingesting, analyzing, and visualizing data that provides insights into asset management, identity and access management, network security, and data protection management. So there is tremendous opportunity for our users and customers to take what they're already doing with our Stack, quickly get more value out of it, and continue to grow with us over time. While it's still early days for Elastic SIEM, it will only get better over time with more features, like SIEM detection rules, user analysis, threat intelligence integration. Our product development approach for SIEM and other use cases is iterative. The goal is to have this magical experience where you deploy Elastic in the context of logging and suddenly through a single UI, you can do threat hunting, or ATM or infrastructure monitoring with very little effort. And to achieve this, we're continuing to streamline the ability to easily get started with and seamlessly transition between use cases. Another example of this iterative development approach is with Elastic Maps, our geospatial analysis product. We made it generally available in our 7.3 release this quarter. This is exciting because Elastic Search has a long history with Geo Data, going back to version 0.9.1 in 2010. And when we look at today, Elastic Maps delivers a curated experience in Kibana that allows users to answer questions like where are the attacks on my network coming from using a pew map or where do I need to scale up my salesforce with a map of enriched sales territory information custom to their business, or where are shipments delayed using a map that floats single points and their orientation in real time. We're seeing these use cases emerge among our customers and it's exciting. Elastic Maps provides a highly dynamic embeddable, customizable, and layered experience that is powerful and easy to get started with. Like Elastic SIEM, Elastic Maps is a proprietary product that is also free and open. And if a user wants to run it as a hosted offering, it is only available through our Elastic Cloud. On the topic of Elastic Cloud, we rolled out a new Amazon Web Services region in London, and a new Google Cloud Platform region in Tokyo this quarter. This expands our presence across these two major cloud providers. And combined with our partnerships with Tencent and Alibaba, strengthens our commitment to being where our users are. In the logging metrics, APM, and uptime monitoring spaces, also known as the observability space, the market is trending towards that convergence of these use cases. This plays to our advantage. Instead of users gluing UIs from separate tools together to solve a problem, they can instead store, search, and analyze all their data, all in one place from one UI. And we've made this an even more powerful experience by providing our users and customers with a simple unified pricing model that removes the friction for trying and adopting new products and features. I am excited to see early signs of these resonating with our user base. In the quarter, we added even more capabilities to our observability products. This included the highly requested Elastic APM .NET agent, which broadens the applicability of these products to even more users. More tooling for Kubernetes monitoring and tighter integration between our products, such as Elastic Logs and Elastic APM. And we continue to see customers adopt us for observability use cases in the quarter, like Nvidia, who closed new business with us or take Dutch electronics company TomTom, who renewed and expanded their business with us. They replaced their Splunk deployment with Elastic to consolidate the logging and analytics environments for all of their online applications. Mortgage loan company Freddie Mac, who closed new business with us this quarter is another example. They are replacing an incumbent logging solution with Elastic for application and infrastructure logging and metrics collection, analysis, and visualization for the enterprise monitoring platform. So, you can get a sense for the ongoing momentum behind us building simple, fast, easy to use experiences for addressing many use cases. This is also true in the enterprise and application search space this quarter. Similar to Elastic SIEM and Maps, this experience will just get better and easier and more powerful as we continue to iterate. With Elastic Enterprise Search, for example, we previewed more connectors such as Atlassian, Jira, and Confluence products. This broadens the applicability of these products to even more users and audiences. With Elastic App Search, we took our SaaS-based app search experience and made it available to users to run on-prem. This is yet another example of how we're giving our users the ease and flexibility to run our products in a way that makes sense for them. It's developments like these that provide customers already using us for this use case, the opportunity to adopt a more tailored experience in the environment they choose. A few examples from the quarter include General Motors who closed new business with us to power search across the vehicle inventory visibility platform. Atlassian, who renewed their business with us for the search embedded in their Confluence application. And Japanese financial institutions Sumitomo Mitsui DS Asset Management, who uses Elastic to help fund managers, quickly search their internal applications to make the best decisions possible for their clients. One last engineering investment I'd like to touch on is Elastic Cloud on Kubernetes or ECK. This is our newest orchestration product that makes it easy to run and manage Elasticsearch and Kibana on Kubernetes for one use case or many at scale. The latest preview release this quarter broadens the applicability of ECK to more users. This release enables users to consume ECK through more distributions beyond Vanilla Kubernetes. Red Hat OpenShift, Azure Kubernetes Service, Amazon's Elastic Container Service, and Google Kubernetes engine. It also includes support for Elastic APM and custom security features. ECK is another product that is available through our basic offering, with the ability to extend to paid enterprise level capabilities and support. All of the things I've talked about today SIEM, Maps, APM, logs, infrastructure monitoring, app search, enterprise search, and so on are significant engineering investments that have occurred under the proprietary Elastic license. Our strategy as a company is to continue to put significant investments into proprietary products and features. Many of them are available under our free and default basic subscription. This means a user wanting to run our software to a SaaS can only deploy them via our Elastic Cloud. We believe this strategy is working and this quarter is particularly indicative of our strength to deliver on it. Overall, it's been an exciting first quarter, and I am more confident than ever about our strategy and market position. I continue to be humbled by the team's work and how well they've executed. But there is more on the horizon, and I look forward to what's ahead. That's all from me, Janesh over to you.