Elastic Expands Observability Platform with Native Prometheus Support and AI-Powered Investigations
Event summary
- Elastic introduced native Prometheus support and AI-driven investigation workflows to its observability platform.
- The new capabilities enable up to 30x faster metric queries than Prometheus and 2.5x more efficient data storage.
- Out-of-the-box Kubernetes workflows, automated migration tools from Datadog and Grafana, and agentic investigations are now available.
- General availability includes the columnar metrics engine, ES|QL time series support, and PromQL in Kibana.
- Tech preview features include the Observability MCP App, Agent Skills, and the Observability Migration Platform.
The big picture
Elastic's expansion into metrics observability addresses the growing complexity of Kubernetes, microservices, and AI workloads. The company aims to consolidate fragmented observability tools under a single platform, reducing costs and improving incident response times. This move positions Elastic as a direct competitor to Datadog and Grafana in the high-growth observability market.
What we're watching
- Adoption Pace
- How quickly customers will migrate from Datadog and Grafana to Elastic's unified platform.
- Performance Scaling
- Whether Elastic can sustain its claimed 30x faster metric queries at scale across diverse workloads.
- Market Differentiation
- The extent to which native Prometheus support and AI-driven investigations will set Elastic apart from competitors.
Related topics