Shay Banon
Analyst · Goldman Sachs
Thank you, Anthony. Welcome everyone. It's great to be here today. Three weeks ago we held our Global All Hands event, where we kicked off the new fiscal year as a whole company. I personally have walked away from the experience, humbled and motivated by everything the team accomplish in Q4 and the full fiscal year. In Q4, revenue grew 68% year-over-year on a constant currency basis. We have more than 8,100 subscription customers at the end of the quarter, including over 440 with annual contract value of more than $100,000. And our net expansion rate was over 130%, which we've maintained for 10 quarters in a row now. Looking at the full fiscal year, revenue grew 72% on a constant currency basis. This strong performance was fueled by continued adoption and differentiation of our products and features, expansion to new use cases, growth across all geographies and increased mindshare at all levels of the business. I could not be more proud of the innovation and the results that our employees delivered over the past year. Janesh will dive into further detail about our financial performance. But first I'd like to cover some highlights from the quarter. I have to say that I'm out of breath every time I look at the rate of innovation and the engineering efforts behind all we released. We dropped major features in minor releases. We shipped minor updates with major impact. We delivered over 15 releases in fiscal 2019, including 5 in Q4, and we continue to do it at the speed and at scale while maintaining relevance to our users. We demonstrated our ability to deliver differentiated value and its fast scalable, relevant and resilient technology in several ways during the quarter, especially in our 6.7 and 7.0 releases. We shipped our next generation cluster coordination layer in Q4. These foundational feature makes Elasticsearch even easier to scale, further hardens resiliency in the face of catastrophic failure and allows for even more mission-critical data sets to find their way into Elasticsearch, expanding the use cases that it addresses. It's also backed by TLA+, which is the language for formally approving and validating distributed algorithms. We even got a nod from the TLA+ creator, which is a unique honor. This was a multiyear journey involving tens of people looking to better help users detect failures, recover from them and present them in the first place. We also made cross-cluster replication or CCR generally available. This is the platinum level feature that further expands our resiliency story. This is also exciting because CCR better enables customers who have been asking us about working across multiple cloud providers and hybrid cloud strategies. This is a supercritical feature along with cross-cluster search that only we provide that makes this a reality. Now if we move from resiliency to speed, we took fast and made it faster. Elasticsearch got a huge speed boost many times over in the quarter with our Top-K queries feature, which returns prioritized results to users many time faster. This feature is especially applicable to e-commerce site and app search customers, running our self manage or SaaS offering. The U.S. Census Bureau, for example, uses Elasticsearch for their website, which will eventually release data for their 2017 economics census, the 2018 American community survey and the 2020 census. They also renewed business with us in the quarter for a separate logging use case. These improvements to Elasticsearch are also part of our recent beta release of Elastic Enterprise Search. This new self manage product offers the ability to easily search content from across common SaaS based data sources such as Google Drive, GitHub, Salesforce and Dropbox, all from a single search box. Now if you told me seven years ago that I'd be excited about enterprise search, I probably wouldn't have believed you. What the team has done is truly amazing. We’ve taken a fresh look at this problem space and created something that slightly different than what you see in the market today. And it's only the beginning, there's more exciting work to come. We also evolved our Geo data analysis story in the quarter. We previewed a new product called Elastic Maps, which is available through our basic subscription. Elastic Maps delivers a curated experience for users to visualize location-based data in Elasticsearch. For example, this is useful if you want to visualize a physical IT location for a bad access, looking to breach a network with a pew pew [ph] map or defining a geo fence for finding relevant land spots on a mobile app. I'm super excited about this because customers are already expressing how these product will help them derive further value from their existing use cases and then expand into new ones. For example, Delivery, a leading logistics and delivery service based in India is a longtime Elasticsearch service customer of ours. They deliver 1 million packages a day during peak seasons and every package shipped can generate more than 50 data points about five geo-location and status information, which is captured from the field every 20 second. These visibility helps streamline operations and resolve the issues in their delivery network. They are excited about our new Elastic Maps product and are also exploring the use of Elastic APM and Canvas. Elastic Maps is a natural progression of our ongoing efforts in this space. From recent development with BKD trees and GeoShape analysis to building our own map service with all the layers, vectors, shapes and base maps users need. Maps is also compatible with dark mode, a new feature from the quarter, which is super important to the user experience, especially those that work in network or security operation centers. And also for addressing the first rule of gremlins. Now in the context of uptime monitoring, we’ve seen a similar progression this quarter. What started as a data shipper for monitoring internal and external services and applications, created by our own internal SRE team by the way, has evolved into a product called Elastic Uptime. This product provides a curated experience for uptime monitoring, leaving users the ability to proactively monitor and find problems before customers run into them. This is a common use case for many of our users. An example is Key Banc, who renewed and expanded business with us in the quarter. They use Elastic for log metric and APM data collection. They monitor all kinds of things with Elastic, their Kubernetes and OpenShift infrastructure, performance across their 1,600 branches by running Metricbeat on 10,000 workstations and uptime for their systems and services using Heartbeat. I also understand that they're looking forward to adopting our new Uptime monitoring product. So we’re excited about this product, which is available through our basic subscription. It's our fourth pillar, if you will, in the observability space, joining logging, metrics and APM. And we continue to see improvements in those spaces as well. For example, we shipped nanosecond timestamp precision to give users a million times more granularity into their data. It's like quantum level knowledge into what’s going in logging and metrics use case. You can imagine how these can also be critical to businesses that need to know if one trade happened before the other, for example. It's a whole new scale of insight. We've also made it simpler for users to centrally analyze logs, metrics and security events from different sources with what we call the Elastic Common Schema or ECS. ECS they've users time and makes it easier to onboard new data sources and develop analytics content using a common language. It all just works. These developments can have meaningful impact across a wide range of users, including educational institutions like Georgia Tech or telecommunication companies like Rogers Communications, both closed new business with us in the quarter. Government institutions are another space I think about in this context. For example, the US Air Force, who recently adopted Elastic as an integral part of its defensive cyber operations. Elastic has proven to be a force multiplier for Air Force cyber teams by bringing speed and automation capabilities that deploy rapidly and at scale. Elastic also enables them to better protect networks and data in order to maintain an informational advantage. I’ve talked about a number of solutions and how customers are using our products to solve for many use cases. An aspect of this is orchestration and management of our software. And another trend we’ve seen is the rapid adoption of Kubernetes for orchestration of Elasticsearch and Kibana. We have a history in the Kubernetes space with the release of our Helm Charge. Kubernetes continue monitoring and our partnership with CNCF. So I’m excited to share that we previewed the release of Elastic Cloud on Kubernetes or ECK, our product for running Elasticsearch and Kibana on Kubernetes. We announced at KubeCon, Barcelona few weeks back with support from Google and Red Hat. ECK is available through our basic and enterprise subscriptions. Using the Kubernetes operator pattern, ECK is the official Elasticsearch operator and so much more. And we really doubled down on providing the best possible user experience. Security is an integral part of this, especially for shared or multitenant environments like Kubernetes. So with our 6.8 and 7.1 releases, we’ve made certain core security features available in our basic subscription. This includes native authentication encrypted communications and role-based access control at the cluster and index levels. This further differentiates our proprietary free features in our default distribution. We are also continuing to invest in advanced stage, security capabilities to enrich our existing feature portfolio. This is part of our evolving story around providing the best possible experience, from opening the [indiscernible] to where everyone can now run a fully secure cluster hassle free. As you can see, we are building on our strong foundation that provides differentiated value across a wide range of use cases in users. No matter how they choose to consume us, as a service, self managed or somewhere in between. And the capability, knowledge and experience to achieve this level of work around the Elasticsearch and the Elastic Staff, simply cannot be imitated or replicated. It's really staggering. Looking ahead, we are doubling down on our investments in R&D. We are well positioned to capture reach opportunity across many market, such as APM and security and we are investing against that. We also saw exciting development in the partner space this quarter. We expanded our partnership with Google cloud in order to bring a more native integration of our Elasticsearch service within the Google Cloud console. This means users will have a simplified management, discovery, billing and support experience with our Elasticsearch service on GCP. We are excited about this development for our Elasticsearch service customers running on GCP like Etsy, who closed new business with us this quarter. They’re using our unique heart warm architecture features to power their operational log analytics use case. Another notable partnership from the quarter to highlight is our expansion with semantics. Originally an advanced reseller, they are now in MSP providing small businesses in Brazil with search and data analytics solutions powered by Elastic Cloud Enterprise. Also happened to speak at our Sao Paulo tour event, one of six global events in the quarter where we've seen great momentum and excitement. I mentioned another win from the Latin American market, Rappi [ph] an on-demand delivery startup who uses our Elasticsearch service for application search. They were also present at our Sao Paulo tour. We announced a partnership retention, which brings the best of our Elasticsearch service to the Tencent Cloud. We were humbled by the acknowledgment of another cloud service provider in China, wanting to work with us and expand our reach to users in the region. And it's an especially exciting time now that Kibana has been localized to Chinese with our 6.7 release, a popular request from our users in China. This is a huge step for internationalizations efforts to make our products more accessible to users in their native language. Last but not least, we are excited to announce our proposed acquisition of Endgame, an endpoint security company. This is a natural step for us as a company. Over the years, we’ve developed aging based technology with our Beats products and this is an opportunity to strengthen our satellites of agents that circle the Elastic stuff. This development helped with shipping raw security events to the Elastic Stack and also focuses on detection, prevention and remediation of threat at the endpoint level. I'm also very excited about the ability to bring our bottom-up adoption model to the SIEM space and we have the opportunity to do the same for the endpoint space is security. Lastly, the Endgame team feels like a wonderful cultural match with elastic. These are our team members are look forward to working shoulder to shoulder with, to bring the best security product possible to the market. We covered a lot of ground in Q4 and throughout the fiscal year, and we don't intend to slowdown. With the continued adoption of development of our products for existing and new use cases and market, we look forward to continuing to accelerate our investments across all parts of the business. I have such trust in our company. The amazing people behind it and their ability to execute on the opportunity in front of us. And with that, I'll hand it over to Janesh.