Elastic vs New Relic
Relationship
Elastic Observability and New Relic AI Observability both serve buyers who need to watch an AI agent for suspicious or runaway behaviour; New Relic's scale not recorded.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 shared capabilities — Across all their products, both list data analysis, evaluation and observability and knowledge retrieval.
Ludbee capability tags · every product each company sellsShared product type — Both ship application and platform.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 3
Not verified for New Relic · 6
Recorded for Elastic. New Relic’s product records say nothing either way — a missing record is not a missing capability.
New Relic has no capability Elastic lacks, among the 3 recorded here.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Elastic
Application
An LLM-based application that analyzes security alerts, identifies potential attacks, and groups related alerts into attack narratives.
An AI security-operations layer that correlates alerts from a customer's existing security tools, prioritizes threats and guides response workflows without replacing their SIEM.
GenAI- and ML-driven capability inside Elastic Observability that automatically detects, diagnoses and helps resolve operational issues, providing recommended actions for SREs.
Monitoring capability inside Elastic Observability for generative-AI and agentic applications: performance, cost control, guardrail tracking and reliability for GenAI workloads.
Agentic security-operations platform unifying SIEM, XDR and native automation, with autonomous agents handling detection-to-response workflows and purpose-built AI skills for threat hunting, alert analysis and detection engineering; supports multiple LLMs including on-premises models.
Platform
A conversational assistant embedded in Kibana that answers natural-language questions against a customer's own indexed data across Elastic's Observability, Security and Search solutions.
Uses machine learning to identify anomalies before they become incidents.
New Relic
Application
New Relic AI analyzes telemetry data and answers questions about monitored systems.
New Relic Applied Intelligence detects anomalies and helps engineers understand and resolve incidents.
Platform
Observability for AI applications: LLM performance, error and cost, token and quality metrics, MCP server call lifecycle, and maps of multi-agent interactions.
No counterpart
Elastic sells these in a stack layer with no product recorded for New Relic yet — nothing on the other side to compare them against.
Agent platform
A builder for custom AI agents that answer questions and take actions over data indexed in Elasticsearch, using configurable tools, skills and prompts.
An automation engine that runs both scripted steps and AI agents which reason through investigations and execute response actions against data in Elasticsearch.
Infrastructure service
Distills source data into context for retrieval by agents and applications.
Model API
Hosted inference endpoint that runs Elastic-managed LLMs, the ELSER sparse-embedding model and third-party embedding models for ingest, search and chat without provisioning ML nodes in a customer's own Elasticsearch deployment.
New Relic sells these in a stack layer with no product recorded for Elastic yet — nothing on the other side to compare them against.
AI agent
New Relic Autopilot investigates incidents, identifies likely root causes and recommends next actions.
Data service
New Relic Ground Truth combines telemetry, dependencies, incidents and changes into operational context for AI agents.