Elastic, a leading Search AI Company, has been recognized as a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms for the second consecutive year. This acknowledgment highlights Elastic's Observability solution, emphasizing its Completeness of Vision and Ability to Execute in delivering scalable, AI-driven insights for complex systems.
Elastic named Leader in 2025 Gartner Magic Quadrant for Observability Platforms.
Recognized for Completeness of Vision and Ability to Execute for second year.
Offers OpenTelemetry-native support for standardized, open-source instrumentation.
AI-driven assistance with RAG enhances troubleshooting with natural language.
Zero-config AIOps automates anomaly detection and trend forecasting.
Search AI Lake ensures cost-efficient, high-performance data storage.
Elastic Observability stands out due to its robust integration with open standards and advanced AI capabilities. The platform’s native support for OpenTelemetry allows organizations to leverage open-source instrumentation without the need for custom connectors, ensuring seamless data collection across diverse systems. This approach simplifies observability for businesses, enabling standardized monitoring without proprietary lock-in.
The inclusion of a built-in AI Assistant, powered by Retrieval Augmented Generation (RAG), transforms how teams address incidents. “Visibility alone isn’t enough; customers need rapid context-rich insights to troubleshoot complex systems,” said Santosh Krishnan, general manager, Observability & Security at Elastic. This AI-driven feature allows teams to use natural language for triaging incidents, reducing time-to-insight by querying logs, metrics, and traces efficiently.
Elastic’s zero-config AIOps capabilities enable automatic anomaly detection, trend forecasting, and pattern identification. By leveraging out-of-the-box machine learning, the platform minimizes manual configuration, allowing organizations to proactively address issues across their infrastructure, applications, and user experiences.
Elastic’s piped query language, ES|QL, empowers users to conduct complex investigations swiftly. This advanced analytics tool streamlines queries across observability data, enabling faster and more precise troubleshooting. The flexibility of ES|QL supports organizations in managing intricate IT environments effectively.
The Search AI Lake underpins Elastic Observability, supporting petabytes of structured and unstructured data. This architecture ensures high-performance data storage without compromising retention, offering a cost-efficient solution for organizations managing large-scale observability data.
Elastic’s capabilities have delivered tangible results for organizations. “By using Elastic and consolidating multiple tools, we reduced our root cause analysis time by 80%,” said Eva Ulicevic, director, Technology, Architecture, Strategy, and Analytics at Telefónica Germany. This reduction in analysis time underscores Elastic’s ability to enhance operational efficiency and minimize business-critical incidents.
Elastic Observability continues to empower organizations by providing a unified platform to monitor, troubleshoot, and optimize their entire ecosystem, from infrastructure to end-user experience.
Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500.
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