Elastic provides a suite of solutions, including Elasticsearch, Kibana, and Beats, for data ingestion, search, and analysis.
Elasticsearch is a distributed, RESTful search and analytics engine designed for horizontal scalability, high availability, and easy management. It indexes data in near-real-time, allowing users to explore and analyze large volumes of data quickly and efficiently.
Kibana is an open-source data visualization and exploration tool that works seamlessly with Elasticsearch. It provides a user-friendly interface for querying, analyzing, and visualizing data stored in Elasticsearch indices. Kibana offers various features, such as interactive dashboards, geospatial analysis, and machine-learning capabilities.
Beats is a family of lightweight, single-purpose data shippers that can collect and ship various types of data, such as logs, metrics, and network data, to Elasticsearch or Logstash for further processing and analysis.
Elastic's solutions are widely used in various domains, including log management, security information and event management (SIEM), application performance monitoring (APM), and business analytics. The Elastic Stack's ability to handle structured and unstructured data, combined with its scalability and real-time search capabilities, makes it a popular choice for organizations seeking to derive insights from their data.
In September 2024, Elastic introduced a new feature called Automatic Import, designed to automate the onboarding of SIEM data for Enterprise license holders. This feature aims to streamline the adoption of AI-driven security analytics by simplifying the creation of custom data integrations. Utilizing GenAI, Automatic Import reduces the onboarding process from several days to under 10 minutes, allowing users to specify settings and upload sample data to set expectations for the data source.
In November 2024, the company integrated AutoOps, a monitoring and management tool acquired from Opster, into Elastic Cloud. AutoOps provides performance recommendations, resource utilization insights, and real-time issue detection. The tool monitors hundreds of Elastic metrics, offers pre-configured alerts for ingestion bottlenecks, and identifies problems such as data structure misconfigurations, unbalanced loads, and slow queries, providing resolution paths with in-context Elasticsearch commands.
Key customers and partnerships
Elastic’s key customers include Wells Fargo, Adobe, and BMW.
Elastic has established partnerships with several technology companies, including cloud providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). These partnerships enable customers to deploy and manage Elastic solutions seamlessly within their preferred cloud environments.
Additionally, Elastic has collaborated with industry leaders in various sectors, such as cybersecurity, IT operations, and business intelligence. For instance, Elastic has integrated with security vendors like Splunk, allowing organizations to leverage the strengths of both platforms for enhanced threat detection and response.
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