Segment & Geographic Data
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Elastic N V's Business Segments
Elastic N V's reported revenue by business segment and by geographic region, quarterly and annual, normalized against the consolidated income statement. Free below: the top 3 rows per table, this quarter and this fiscal year. Subscriber access adds the full segment history and operating income by segment.
Segment Data As of FY
Reportable Segments
7
Largest Segment
Subscription
Total Revenue
$ 478
Regions Reported
1
Revenue Share by Reportable Segment - FY
- Subscription93.9%
- Saa S Self Managed49.2%
- Non-US45.8%
- Self Managed Subscription44.7%
- Saa S Self Managed - Annual38.7%
- Saa S Self Managed - Monthly10.5%
- Professional Services6.1%
Revenue by Reportable Segment - FY
| Segment | Revenue (Millions) | % of Total |
|---|---|---|
| Subscription | $ 449 | 93.9% |
| Saa S Self Managed | $ 235 | 49.2% |
| Non-US | $ 219 | 45.8% |
4 more segments available
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Revenue Share by Region - FY
- Non-US46.8%
Revenue by Geographic Region - FY
| Region | Revenue (Millions) | % of Total |
|---|---|---|
| Non-US | $ 210 | 46.8% |
Revenue by Product & Service Category - FY
- Subscription94.7%
- Saa S Self Managed48.6%
- Self Managed Subscription46.1%
- Saa S Self Managed - Annual37.5%
- Saa S Self Managed - Monthly11.1%
- Professional Services5.4%
Revenue by Product & Service Category - FY
| Category | Revenue (Millions) | % of Total |
|---|---|---|
| Subscription | $ 426 | 94.7% |
| Saa S Self Managed | $ 218 | 48.6% |
| Self Managed Subscription | $ 207 | 46.1% |
Product and service categories are a supplemental disclosure and are not required to sum to consolidated revenue or to the reportable segments above.
3 more categories available
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Annual Results
Revenue Share by Reportable Segment - FY
- Subscription93.9%
- Saa S Self Managed49.2%
- Non-US45.8%
- Self Managed Subscription44.7%
- Saa S Self Managed - Annual38.7%
- Saa S Self Managed - Monthly10.5%
- Professional Services6.1%
Revenue by Reportable Segment - FY
| Segment | Revenue (Millions) | % of Total |
|---|---|---|
| Subscription | $ 449 | 93.9% |
| Saa S Self Managed | $ 235 | 49.2% |
| Non-US | $ 219 | 45.8% |
4 more segments available
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Description of Elastic N V
Elastic is a data analytics firm that was founded on the power of search. Our platform, which is accessible as a hosted, managed service across public clouds as well as self-managed software, enables our clients to quickly identify and act on insights from huge volumes of data. We have three search-powered solutions incorporated into the platform: Enterprise Search, Observability, and Security. We assist enterprises, their workers, and their customers in finding what they need quicker, while maintaining mission-critical systems and defending against cyber threats.
Our platform is based on the Elastic Stack, a powerful suite of software tools that can take data from any source, in any format, and then search, analyze, and visualize it. Elasticsearch is at the heart of the Elastic Stack, serving as a highly scalable document storage and search engine, as well as the single data repository for all of our products and use cases. Kibana, another major component of the Elastic Stack, provides a unified user interface across all of our offerings, as well as sophisticated drag-and-drop visual analytics and platform administration. Our out-of-the-box solutions for quick time to value, together with our expandable and flexible developer-centric platform, all built around a core data store and a single user experience that we manage, allow us to innovate fast and differentiate our offerings at every level.
We make our platform available as a hosted, managed service across major cloud providers (Amazon Web Services ('AWS'), Google Cloud Platform ('GCP'), and Microsoft Azure) in more than 50 public cloud regions globally. Customers can also deploy our platform across hybrid clouds, public or private clouds, and multi-cloud environments.
Our business model is based primarily on a combination of a paid Elastic-managed hosted service offering and paid and free proprietary self-managed software. Our paid offerings for our platform are sold via subscription through resource-based pricing, and all customers and users have access to all solutions. In Elastic Cloud, our family of cloud-based offerings under which we offer our software as a hosted, managed service, we offer various subscription tiers tied to different features. For users who download our software, we make some of the features of our software available for free, allowing us to engage with a broad community of developers and practitioners and introduce them to the value of the Elastic Stack. We believe in the importance of an open software development model, and we develop the majority of our software in public repositories as open code under a proprietary license. Unlike some companies, we do not build an enterprise version that is separate from our free distribution. We offer a single code base across both our self-managed software and Elastic-hosted services. All of these actions help us build a powerful commercial business model that we believe is optimized for product-led growth.
We offer the Elastic Stack, a powerful set of software products that ingest and store data from any source, in any format, and perform search, analysis, and visualization, usually in milliseconds. The Elastic Stack can be used by developers to power a variety of use cases. We also offer software solutions built in the Elastic Stack that address a wide variety of use cases. The Elastic Stack and our solutions are designed to run in public or private clouds, in hybrid environments, or in multi-cloud environments.
Our platform is based on the Elastic Stack, a powerful suite of software tools that can take data from any source, in any format, and then search, analyze, and visualize it. Elasticsearch is at the heart of the Elastic Stack, serving as a highly scalable document storage and search engine, as well as the single data repository for all of our products and use cases. Kibana, another major component of the Elastic Stack, provides a unified user interface across all of our offerings, as well as sophisticated drag-and-drop visual analytics and platform administration. Our out-of-the-box solutions for quick time to value, together with our expandable and flexible developer-centric platform, all built around a core data store and a single user experience that we manage, allow us to innovate fast and differentiate our offerings at every level.
We make our platform available as a hosted, managed service across major cloud providers (Amazon Web Services ('AWS'), Google Cloud Platform ('GCP'), and Microsoft Azure) in more than 50 public cloud regions globally. Customers can also deploy our platform across hybrid clouds, public or private clouds, and multi-cloud environments.
Our business model is based primarily on a combination of a paid Elastic-managed hosted service offering and paid and free proprietary self-managed software. Our paid offerings for our platform are sold via subscription through resource-based pricing, and all customers and users have access to all solutions. In Elastic Cloud, our family of cloud-based offerings under which we offer our software as a hosted, managed service, we offer various subscription tiers tied to different features. For users who download our software, we make some of the features of our software available for free, allowing us to engage with a broad community of developers and practitioners and introduce them to the value of the Elastic Stack. We believe in the importance of an open software development model, and we develop the majority of our software in public repositories as open code under a proprietary license. Unlike some companies, we do not build an enterprise version that is separate from our free distribution. We offer a single code base across both our self-managed software and Elastic-hosted services. All of these actions help us build a powerful commercial business model that we believe is optimized for product-led growth.
We offer the Elastic Stack, a powerful set of software products that ingest and store data from any source, in any format, and perform search, analysis, and visualization, usually in milliseconds. The Elastic Stack can be used by developers to power a variety of use cases. We also offer software solutions built in the Elastic Stack that address a wide variety of use cases. The Elastic Stack and our solutions are designed to run in public or private clouds, in hybrid environments, or in multi-cloud environments.
Elastic N.V. offers a comprehensive suite of products and services primarily centered around the Elastic Stack, which provides solutions for search, logging, security, and analytics. Below is an extensive description of the segments, products, and services offered by Elastic N.V.:
1. The Elastic Stack
The Elastic Stack, often referred to as the ELK Stack (Elasticsearch, Logstash, Kibana), has seen several enhancements and additional components over time, providing powerful capabilities for data management and analytics.
A. Core Products
- Elasticsearch: This is the foundational component of the Elastic Stack—a distributed, real-time search and analytics engine designed to handle diverse data types, including structured, unstructured, textual, and numerical data. Elasticsearch allows for full-text search, indexing, and real-time querying, making it suitable for a range of applications from simple search functionality to complex analytics operations.
- Kibana: Serving as the visualization and management interface, Kibana provides users with the tools to visualize data managed by Elasticsearch. Users can create sophisticated dashboards, graphs, and charts that allow for real-time data insights. Moreover, Kibana offers management features, enabling users to configure and manage the various components of the Elastic Stack.
B. Data Ingestion and Processing
- Elastic Agent: This product simplifies the management of data collection by functioning as a unified agent to monitor logs, metrics, and security data across endpoints and servers. It includes built-in capabilities for host protection and allows for centralized management of various data sources.
- Beats: A collection of lightweight, single-purpose data shippers that transmit data from various sources (e.g. servers, containers, IoT devices) to Elasticsearch or Logstash. Each Beat specializes in a specific type of data (e.g. Filebeat for log files, Metricbeat for system metrics, and Heartbeat for uptime monitoring).
- Logstash: A powerful data processing pipeline that ingests, transforms, and forwards data from a multitude of sources. It can collect and process data from databases, message queues, and various applications, allowing for complex filtering and processing before sending it to Elasticsearch for indexing.
Solutions and Use Cases
Elastic N.V. provides tailored solutions across various industries, enabling businesses to address specific challenges through the capabilities of the Elastic Stack. Some notable applications include:
- Observability: Utilizing the Elastic Stack for monitoring applications and infrastructure, capturing logs, metrics, and traces to ensure optimal performance and uptime. This includes APM (Application Performance Monitoring) for deeper insights into application behavior.
- Security Information and Event Management (SIEM): Combining logs and security data to detect threats and manage vulnerabilities, the Elastic Stack offers tools for integrated security analytics, allowing users to respond quickly to incidents.
- Enterprise Search: Elastic enables organizations to create intuitive search experiences across their own content and applications, using Elasticsearch to power search functionality both internally and externally.
- E-commerce and Business Analytics: Businesses leverage the Elastic Stack to analyze customer behavior, manage product inventories, and optimize operational efficiencies, gaining insights into sales patterns and trends.
Managed Services
To complement their products, Elastic N.V. also offers managed services:
- Elastic Cloud: This is a fully managed service that delivers Elasticsearch, Kibana, and other components of the Elastic Stack in a cloud environment. Users can deploy their applications quickly without the overhead of managing infrastructure, enabling scalability and reduced operational complexity.
Additional Features and Enhancements
Elastic N.V. continuously evolves its product offerings with new features, including but not limited to:
- Machine Learning: Embedded machine learning capabilities within Elasticsearch to automate the detection of anomalies and offer predictive analytics, enabling users to derive insights from data trends without requiring extensive data science knowledge.
- Security Enhancements: Features designed for data protection, including role-based access control, encryption in transit and at rest, and auditing. These features ensure that users can maintain a strong security posture while leveraging the capabilities of the Elastic Stack.
- Integrations: A wide array of integrations with other platforms and services, enhancing the usability and versatility of the Elastic Stack in diverse IT ecosystems.
Conclusion
Elastic N.V. provides a robust framework within the Elastic Stack, offering essential tools for data ingestion, search, analytics, and visualization. Their solutions are designed to cater to the needs of various industries, helping organizations harness the power of their data effectively while innovating with advanced features and managed services.
1. The Elastic Stack
The Elastic Stack, often referred to as the ELK Stack (Elasticsearch, Logstash, Kibana), has seen several enhancements and additional components over time, providing powerful capabilities for data management and analytics.
A. Core Products
- Elasticsearch: This is the foundational component of the Elastic Stack—a distributed, real-time search and analytics engine designed to handle diverse data types, including structured, unstructured, textual, and numerical data. Elasticsearch allows for full-text search, indexing, and real-time querying, making it suitable for a range of applications from simple search functionality to complex analytics operations.
- Kibana: Serving as the visualization and management interface, Kibana provides users with the tools to visualize data managed by Elasticsearch. Users can create sophisticated dashboards, graphs, and charts that allow for real-time data insights. Moreover, Kibana offers management features, enabling users to configure and manage the various components of the Elastic Stack.
B. Data Ingestion and Processing
- Elastic Agent: This product simplifies the management of data collection by functioning as a unified agent to monitor logs, metrics, and security data across endpoints and servers. It includes built-in capabilities for host protection and allows for centralized management of various data sources.
- Beats: A collection of lightweight, single-purpose data shippers that transmit data from various sources (e.g. servers, containers, IoT devices) to Elasticsearch or Logstash. Each Beat specializes in a specific type of data (e.g. Filebeat for log files, Metricbeat for system metrics, and Heartbeat for uptime monitoring).
- Logstash: A powerful data processing pipeline that ingests, transforms, and forwards data from a multitude of sources. It can collect and process data from databases, message queues, and various applications, allowing for complex filtering and processing before sending it to Elasticsearch for indexing.
Solutions and Use Cases
Elastic N.V. provides tailored solutions across various industries, enabling businesses to address specific challenges through the capabilities of the Elastic Stack. Some notable applications include:
- Observability: Utilizing the Elastic Stack for monitoring applications and infrastructure, capturing logs, metrics, and traces to ensure optimal performance and uptime. This includes APM (Application Performance Monitoring) for deeper insights into application behavior.
- Security Information and Event Management (SIEM): Combining logs and security data to detect threats and manage vulnerabilities, the Elastic Stack offers tools for integrated security analytics, allowing users to respond quickly to incidents.
- Enterprise Search: Elastic enables organizations to create intuitive search experiences across their own content and applications, using Elasticsearch to power search functionality both internally and externally.
- E-commerce and Business Analytics: Businesses leverage the Elastic Stack to analyze customer behavior, manage product inventories, and optimize operational efficiencies, gaining insights into sales patterns and trends.
Managed Services
To complement their products, Elastic N.V. also offers managed services:
- Elastic Cloud: This is a fully managed service that delivers Elasticsearch, Kibana, and other components of the Elastic Stack in a cloud environment. Users can deploy their applications quickly without the overhead of managing infrastructure, enabling scalability and reduced operational complexity.
Additional Features and Enhancements
Elastic N.V. continuously evolves its product offerings with new features, including but not limited to:
- Machine Learning: Embedded machine learning capabilities within Elasticsearch to automate the detection of anomalies and offer predictive analytics, enabling users to derive insights from data trends without requiring extensive data science knowledge.
- Security Enhancements: Features designed for data protection, including role-based access control, encryption in transit and at rest, and auditing. These features ensure that users can maintain a strong security posture while leveraging the capabilities of the Elastic Stack.
- Integrations: A wide array of integrations with other platforms and services, enhancing the usability and versatility of the Elastic Stack in diverse IT ecosystems.
Conclusion
Elastic N.V. provides a robust framework within the Elastic Stack, offering essential tools for data ingestion, search, analytics, and visualization. Their solutions are designed to cater to the needs of various industries, helping organizations harness the power of their data effectively while innovating with advanced features and managed services.
