Why Gartner recognised Elastic, and what this translates to customer value
So what's out there to help solve this problem?
AI-driven capabilities, powerful analytics, and the ability to scale are essential to drive real-time investigations while keeping costs low. This is why Elastic has been named a Leader for the second time.
Elastic Observability helps its customers monitor, troubleshoot, and optimise their entire ecosystem from infrastructure and application performance to end-user experience, all powered by the Search AI Platform.
We think Elastic’s placement as a Leader in the Magic Quadrant reflects its continued investment in open standards, AI-driven innovation, breadth of capabilities, and deployment flexibility.
Here's 5 tangible benefits Elastic provides:
1) OpenTelemetry-native support: Elastic integrates natively with OpenTelemetry, allowing organisations to standardise on open source instrumentation without custom connectors.
2) AI-driven assistance: Elastic’s built-in AI Assistant leverages retrieval-augmented generation (RAG) and context-aware relevance to help teams triage incidents and troubleshoot using natural language and institutional knowledge, accelerating root cause analysis across logs, metrics, and traces.
3) Zero-config AIOps: Elastic’s out-of-the-box machine learning capabilities automatically detect anomalies, forecast trends, and uncover patterns across logs, metrics, and traces.
4) Advanced analytics: Elastic’s new query language (ES|QL) enables intuitive, step-by-step complex investigations by allowing advanced and faster queries across observability data.
5) Optimised cost, scale, and performance: Elastic's Search AI Lake supports petabytes of structured and unstructured data, enabling cost-efficient, high performance data storage without retention compromises.
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