Elastic N.V. Ordinary Shares (ESTC)
Frequently Asked Questions About Elastic N.V. Ordinary Shares (ESTC)
How does Elastic approach artificial intelligence and machine learning?
Elastic is increasingly incorporating artificial intelligence (AI) and machine learning (ML) capabilities into its product offerings. This includes features for anomaly detection, predictive analytics, and automated data pattern recognition, enabling users to gain deeper insights from their data and automate certain analytical processes to enhance operational efficiency.
How does Elastic support data security?
Elastic provides various security features to help organizations protect their data, including user authentication, role-based access control, and encryption for data in transit and at rest. These features are designed to enhance the security of Elasticsearch clusters and ensure that sensitive data is safeguarded against unauthorized access.
How does Elastic's subscription model work?
Elastic employs a subscription-based model that offers various tiers of services based on the features and support levels required by customers. The model typically includes basic free access to their open-source products, supplemented by premium plans that offer advanced features, machine learning capabilities, security options, and technical support.
Is Elastic N.V. a publicly traded company?
Yes, Elastic N.V. is a publicly traded company listed on the New York Stock Exchange (NYSE) under the ticker symbol ESTC. The company went public in October 2018 and has since been traded on the stock market, allowing investors to buy and sell shares of Elastic.
What are Beats in the context of Elastic?
Beats are lightweight data shippers developed by Elastic to collect and send data to Elasticsearch. Each Beat is designed for specific use cases, such as Filebeat for log files, Metricbeat for system metrics, and Heartbeat for availability monitoring. Beats streamline the process of gathering and shipping data, helping users to efficiently monitor their systems and applications.
What are Elastic's main products?
Elastic's main products include Elasticsearch, Kibana, Beats, and Logstash, often referred to as the Elastic Stack or ELK Stack. Elasticsearch is a distributed search and analytics engine, Kibana provides a visualization tool for data, Beats are lightweight data shippers, and Logstash is a data processing pipeline that ingests data from various sources.
What does Elastic N.V. do?
Elastic N.V. is a company that specializes in search and data analytics solutions. The company is known for its Elasticsearch engine, which enables fast and scalable search capabilities in various applications. Elastic offers a suite of products that can handle structured and unstructured data, providing tools for search, logging, metrics, and observability across large datasets.
What industries does Elastic serve?
Elastic serves a wide range of industries including technology, finance, healthcare, retail, and government. Organizations in these sectors utilize Elastic's data analytics solutions for various applications such as log and event data analysis, application performance monitoring, security analytics, and content search, among others.
What is Elastic Cloud?
Elastic Cloud is the managed service offering from Elastic that allows users to deploy, scale, and manage the Elastic Stack in a cloud environment. It provides automated provisioning, software updates, and maintenance, allowing organizations to focus on leveraging their data analytics capabilities without worrying about the underlying infrastructure.
What is Elasticsearch?
Elasticsearch is a distributed, RESTful search and analytics engine that allows users to perform complex queries across large volumes of structured and unstructured data in real-time. It is designed to be scalable, providing users with the capability to ingest, store, and analyze data seamlessly, making it an ideal solution for search applications, log analysis, and data visualization.
What is Logstash and how is it used?
Logstash is a powerful data processing pipeline that ingests data from various sources, processes it, and sends it to specified outputs, which is often Elasticsearch. It is highly customizable, allowing users to filter, transform, and enrich their data before sending it for analysis, helping organizations manage data flows and enhance their analytical capabilities.
What is the Elastic community?
The Elastic community comprises developers, users, and enthusiasts who contribute to and support the Elastic Stack. This vibrant community plays a crucial role in driving innovations, sharing best practices, and facilitating knowledge exchange through forums, user groups, and meetups. The community's involvement enhances the development of Elastic's products and enriches the overall user experience.
What is the mission statement of Elastic N.V.?
Elastic N.V.'s mission statement centers around making data easily searchable and understandable for everyone. The company aims to empower users with the tools they need to leverage their data effectively, facilitating better decision-making and insights through fast, scalable, and real-time search and analytics solutions.
What is the role of Kibana?
Kibana is a data visualization and exploration tool specifically designed for use with Elasticsearch. It provides users with powerful dashboards and visualizations, enabling them to interactively explore their data and gain insights through visual representations such as graphs, charts, and maps. Kibana enhances the usability of Elasticsearch by making analytics accessible to a wider range of users.
What is the significance of Elasticsearch being open-source?
The open-source nature of Elasticsearch allows developers to access the source code, modify it as needed, and contribute to its development. This transparency fosters a vibrant community of users and developers that can share knowledge, create plugins, and collaborate on enhancements, leading to continuous innovation and improvements in the platform.
What recent developments or announcements has Elastic made?
As of 2023, Elastic has been focused on enhancing its product capabilities, expanding its cloud offerings, and optimizing performance for its users. The company regularly announces updates that include new features, integrations, and community engagements through conferences and webinars, demonstrating its commitment to innovation and responsiveness to customer needs.
When was Elastic N.V. founded?
Elastic N.V. was founded in 2012 by Shay Banon and his team. The company initially focused on developing Elasticsearch as an open-source search engine, which rapidly gained popularity due to its speed, scalability, and ease of use. Over the years, Elastic has evolved its product offerings and expanded its market presence.
Where is Elastic N.V. headquartered?
Elastic N.V. is headquartered in Mountain View, California, USA. The company has a global presence, with offices and employees in multiple countries, reflecting its commitment to serving customers around the world and fostering a diverse and inclusive workforce.
Who are Elastic's main competitors?
Elastic competes with several companies in the search and data analytics space, including Splunk, Apache Solr, Datadog, and New Relic. Each of these companies offers different capabilities, but they all vie for a share of the market that focuses on search, logging, and performance monitoring.
What is the current price of Elastic N.V. Ordinary Shares?
The current price of Elastic N.V. Ordinary Shares is 91.39
When was Elastic N.V. Ordinary Shares last traded?
The last trade of Elastic N.V. Ordinary Shares was at 7:00 pm EDT on April 2nd, 2025
What is the market capitalization of Elastic N.V. Ordinary Shares?
The market capitalization of Elastic N.V. Ordinary Shares is 8.36B
How many shares of Elastic N.V. Ordinary Shares are outstanding?
Elastic N.V. Ordinary Shares has 91.50M shares outstanding.