Elastic is present in 11 markets with 12 products. Elastic has 1422 reviews with an overall average rating of 4.5.
Cloud Investigation and Response Automation (CIRA)
Cloud Investigation and Response Automation (CIRA) is a technology that leverages advanced analytics, artificial intelligence (AI), and automation to enhance the detection, investigation, and response to security incidents within cloud environments. It provides real-time insights into potential threats, automates the collection and analysis of forensic data, and uses machine learning (ML) algorithms for proactive threat detection. CIRA tools integrate seamlessly with existing Security Operations (SecOps) technologies to improve an organization’s overall security posture.
Elastic has 1 product in Cloud Investigation and Response Automation (CIRA) market
Endpoint Protection Platforms (Transitioning to Endpoint Protection)
Gartner defines an endpoint protection platform (EPP) as security software designed to protect managed endpoints — including desktop PCs, laptop PCs, virtual desktops, mobile devices and, in some cases, servers — against known and unknown malicious attacks. EPPs provide capabilities for security teams to investigate and remediate incidents that evade prevention controls. EPP products are delivered as software agents, deployed to endpoints, and connected to centralized security analytics and management consoles. EPPs provide a defensive security control to protect end-user endpoints against known and unknown malware infections and file-less attacks using a combination of security techniques (such as static and behavioral analysis) and attack surface reduction capabilities (such as device control, host firewall management and application control). EPP prevention and protection capabilities are deployed as a part of a defense-in-depth strategy to help reduce the endpoint attack surface and minimize the risk of compromise. EPP detection and response capabilities are used to uncover, investigate and respond to endpoint threats that evade security protection, often as a part of broader threat detection, investigation and response (TDIR) capable products.
Elastic has 1 product in Endpoint Protection Platforms (Transitioning to Endpoint Protection) market
Enterprise AI Search
Gartner defines enterprise AI search as platforms that enable retrieval and synthesis of information across enterprise repositories. They are a key technology for developing AI assistants and AI agents that scale to enterprise needs using retrieval-augmented generation (RAG). They integrate with a wide range of advanced natural language processing (NLP), machine learning (ML) and large language model (LLM) technologies that are essential to knowledge management processes. They are designed to be customized and tuned for specific domains but often come with prepackaged integrations and experiences for some enterprise applications. Enterprise AI search tools are pivotal tools for humans and machines that need to find information and synthesize it to derive insight, so they can subsequently make decisions and take actions. These platforms connect to a wide variety of data sources, normalize and classify information, index it, and match and rank the most relevant results. Their user experiences are commonly customized and are increasingly used as a platform for building AI assistants for a wide variety of operational use cases. Those building RAG-based systems should consider how to configure enterprise search platforms to deliver AI assistants and, in the future, AI agents.
Elastic has 2 products in Enterprise AI Search market
Enterprise Search Engines
Enterprise search engines are specialized search tools designed to help organizations index, search, and retrieve information stored within their internal data repositories. Unlike general web search engines that index and search the entire internet, enterprise search engines focus on the internal data of an organization, which can include documents, emails, databases, intranet sites, and other digital assets or data sources. Modern enterprise search engines often incorporate Natural Language Processing (NLP) and Machine Learning (ML) and AI-powered technologies to enhance their capabilities and improve the search experience. This type of search engine is adept at handling both structured and unstructured data, making it invaluable for diverse use cases such as knowledge management, customer support, and business intelligence. By integrating these enterprise search software capabilities, organizations can ensure that employees have quick and relevant access to the information they need, thereby improving productivity and decision-making.
Elastic has 1 product in Enterprise Search Engines market
Event Intelligence Solutions
Gartner defines event intelligence solutions (EIS) as tools that apply artificial intelligence (AI) and data analytics to augment, accelerate and automate responses to signals or events detected from digital services. The key characteristics of event intelligence solutions include cross-domain event ingestion, topology assembly, event correlation and enrichment, pattern recognition, and accelerated remediation. These solutions are designed to process event streams into actionable insights and enable proactive responses that reduce toil and improve performance and availability. They are delivered as software as a service or self-managed software.
Elastic has 1 product in Event Intelligence Solutions market
Generative AI Engineering
Generative AI (GenAI) engineering refers to the field of engineering that focuses on the development, implementation and optimization of generative AI models. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. By developing GenAI models, engineers can create new and innovative ways to generate content. The vendors in this segment are made up by incumbent and startup vendors covering full-model life cycle management, specifically adjusted to and catering to development, refinement and deployment of generative models (e.g., LLMs) and other GenAI artifacts in production applications. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.
Elastic has 1 product in Generative AI Engineering market
Generative AI Knowledge Management Apps/General Productivity
Gartner defines the generative AI (GenAI) knowledge management apps/general productivity submarket as technologies that enable companies to better retrieve and contextualize information and insight from their knowledge bases, including enterprise AI search, conversational AI platforms, and productivity tools for communications and content development.
Elastic has 1 product in Generative AI Knowledge Management Apps/General Productivity market
Infrastructure Monitoring Tools
Infrastructure monitoring tools capture the health and resource utilization of IT infrastructure components wherever they reside (e.g., in a data center, at the edge, or IaaS or PaaS in the cloud). This enables I&O teams to monitor the availability and resource utilization data of physical, virtual, software entities, and AI systems — including servers, containers, network devices, database instances, hypervisors, storage, and basic application monitoring. These tools collect data in near real time and perform historical data analysis or trending of the elements they monitor.
Elastic has 1 product in Infrastructure Monitoring Tools market
Observability Platforms
Gartner defines observability platforms as products used to understand the health, performance and behavior of applications, services and infrastructure. They do this by ingesting telemetry (operational data) from a variety of sources including, but not limited to, logs, metrics, events and traces. Observability platforms enable analysis of the ingested telemetry, either via human operator or machine intelligence, to determine changes in system behavior that impact end-user experience, such as outages or performance degradation. This allows early, and even preemptive, problem remediation. Observability platforms are used by IT operations, site reliability engineers, cloud and platform teams, application developers and product owners. Modern businesses rely heavily on critical digital applications and services, which are revenue-generating, client-facing and important to the efficient operation of the business. Outages, performance degradation and unreliability directly impact top-line revenue, client sentiment and brand perception. Observability platforms are used by organizations to understand and improve the availability, performance and resilience of these critical applications and services. Investment in and successful deployment of observability platforms leads to revenue loss avoidance and enables faster product development cycles and improvements in brand perception.
Elastic has 1 product in Observability Platforms market
Search and Product Discovery
Gartner defines search and product discovery as applications that augment digital commerce solutions to facilitate navigation, filtering, comparisons and, ultimately, selection of products. They provide search (keyword, semantic and visual), merchandising (automation, configuration and curation of business rules) and product recommendations. These applications also provide catalog navigation (including SEO keyword automation and guided selling assistants). Personalization, optimization and analytics capabilities should also be available. Platforms are deployed as SaaS. They provide administrative tooling to enable digital commerce roles (merchandisers, content managers and search specialists) to support customer experiences via no-code. With the emergence of generative AI, conversational search and guided selling assistants are now appearing. Search and product discovery applications can provide the digital customer journey from landing on a website or app to finding the correct product and adding to basket. Search results can be highly visual, using engaging layouts and multimedia. Content other than product information, such as educational information, compliance materials, customer reviews and related news may also be included in search results to engage customers and further support buying decisions.
Elastic has 1 product in Search and Product Discovery market
Security Information and Event Management
Security information and event management (SIEM) is a configurable system of record that collects, aggregates and analyzes security event data from on-premises and cloud environments. SIEM processes security event data for the purposes of threat detection, investigation and response. It natively supports data normalization and offers user-configurable detection content and reporting to orchestrate threat mitigation and satisfy compliance requirements. These solutions are delivered via a SaaS platform or client-hosted on-premises or private cloud. The security information and event management (SIEM) system must assist with: 1. Aggregating and normalizing data from various IT and operational technology (OT) environments. 2. Designing and executing near real-time monitoring and alerting content. 3. Enriching and investigating security events of interest. 4. Supporting manual and automated response actions. 5. Maintaining and reporting on current and historical event data.
Elastic has 1 product in Security Information and Event Management market