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AI visibility report

New Relic ranks #1 in Observability & Monitoring AI search.

Outside the top three on 13 of the 25 prompts buyers actually ask.

Datadog is cited on 5 of those losses.

25 prompts
6 platforms
Updated Jul 15, 2026 - refreshed weekly
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21percent
Presence Rate
Low presence

Best among 14 vendors · still absent from 78.7% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.44
Sentiment
-1.00.0+1.0
Positive
#1of 14

Peer Ranking

#1#14
Top tierin Observability & Monitoring

Key Metrics

Presence Rate21.3%
Share of Voice19.2%
Avg Position#14.7
Docs Presence2.0%
Blog Presence19.3%
Brand Mentions58.0%

Platform Breakdown

Perplexity
44%11/25 prompts
Grok
28%7/25 prompts
Google AI Mode
20%5/25 prompts
Gemini Search
16%4/25 prompts
ChatGPT
12%3/25 prompts
Bing Copilot
8%2/25 prompts

Leader, with room to expand. New Relic leads this category on presence and share of voice, but appears in only 21.3% of tracked prompt responses. The priority is defending current wins while expanding absolute coverage.

Where New Relic is losing

Prompts where competitors are visible and New Relic is not.

These prompt-level losses are the first prompts to track and repair.

Where New Relic is winning5

  • Which observability platforms handle data retention and query performance best as log volume grows into terabytes per day?

    Avg # 1.0 · 1 platform

  • Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system?

    Avg # 1.0 · 1 platform

  • Which distributed tracing platforms add the least overhead to latency-sensitive APIs — safe to run in production at full sampling?

    Avg # 2.5 · 2 platforms

  • Which APM tools have the best day-one onboarding to get immediate value without drowning in noise?

    Avg # 4.7 · 3 platforms

  • Which observability platforms make it easiest for developers new to OpenTelemetry to adopt a trace-first workflow?

    Avg # 6.5 · 2 platforms

Where New Relic is losing5

  • Which SaaS monitoring platforms have the lowest ingestion lag during high-volume log bursts so alerting stays fast?

    Competitors on 4 platforms

    Track this prompt
  • Which observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry?

    Competitors on 2 platforms

    Track this prompt
  • Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning?

    Competitors on 2 platforms

    Track this prompt
  • I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach?

    Competitors on 2 platforms

    Track this prompt
  • Which enterprise observability platforms handle multi-tenant environments with isolated views per team or service best?

    Competitors on 2 platforms

    Track this prompt

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Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

New Relic is a San Francisco-based, AI-powered observability platform founded in 2008 by Lew Cirne and taken private in November 2023 by Francisco Partners and TPG for approximately $6.5 billion. The platform delivers full-stack monitoring—spanning application performance management (APM), infrastructure, log management, digital experience monitoring, AI/LLM observability, AIOps, and security vulnerability management—under a single unified interface. New Relic supports over 800 pre-built integrations and is built on OpenTelemetry standards. It uses a transparent, usage-based pricing model with a perpetual free tier (100 GB/month). The company has been named a Gartner Magic Quadrant Leader for Observability Platforms every year since 2012, most recently for the 13th consecutive time in 2025.

New Relic Intelligent Observability Platform is a cloud-native, AI-powered SaaS product that unifies metrics, events, logs, and traces (MELT) across the full technology stack—from frontend browser and mobile applications through distributed microservices, databases, Kubernetes clusters, and cloud infrastructure. It combines APM 360, digital experience monitoring, AI/agentic monitoring, log intelligence, infrastructure monitoring, AIOps, and Security Rx into a single data platform with 800+ integrations, an NRQL query engine, customizable dashboards, smart alerting, and an AI assistant (New Relic AI). Agentic capabilities include an SRE Agent for automated incident remediation and an Agentic Platform for delivering observability signals into third-party AI workflows.

Key Facts

Founded
2008
HQ
San Francisco, USA
Founders
Lew Cirne
Employees
1001-5000
Funding
$196M
Customers
~15,900
Valuation
$6.5B
Status
Private (Francisco Partners & TPG, acq. Nov 2023)

Target users

Software engineers and application developers (APM, error tracking, distributed tracing)Site reliability engineers (SRE) and DevOps teams (incident response, alerting, AIOps)Platform and infrastructure engineers (Kubernetes, cloud, network monitoring)Security engineers (runtime vulnerability management, fraud detection)Engineering managers and CTOs (business observability, cost governance, dashboards)Digital product teams (browser/mobile/session monitoring, conversion optimization)

Key Capabilities10

  • Full-stack APM with distributed tracing and transaction-level root cause analysis (APM 360)
  • Infrastructure monitoring for hybrid, cloud-native, and Kubernetes environments
  • Log management with AI-assisted query, federated logs, and in-context correlation
  • Digital experience monitoring: real user monitoring (RUM), synthetic testing, mobile, and session replay
  • AI and agentic monitoring: LLM performance, token usage, and hallucination detection
  • AIOps: anomaly detection, smart alerting, incident correlation, and workflow automation
  • Security Rx: runtime vulnerability management with production-context prioritization
  • Cloud Cost Intelligence: real-time multi-cloud and Kubernetes spend visibility
  • SRE Agent: AI-driven automated incident investigation and remediation
  • OpenTelemetry-native telemetry pipeline with Pipeline Control for data volume management

Key Use Cases8

  • Application performance monitoring and MTTR reduction for distributed microservices
  • Full-stack observability consolidation to replace multiple siloed monitoring tools
  • Kubernetes and cloud-native infrastructure monitoring
  • Digital experience and end-user journey optimization
  • AI/LLM application monitoring and cost governance
  • Security vulnerability triage using live production context
  • SRE incident response automation and on-call noise reduction
  • Business observability: linking technical telemetry to revenue and customer outcomes

New Relic customer outcomes

Shutterstock

60% reduction in logging spend; 75% decrease in time generating reports

Shutterstock standardized on New Relic for log management and observability, reducing log spend and significantly accelerating fraud and security report generation from hours or days to minutes.

Statista

95% latency reduction

Data analytics firm Statista used New Relic's free tier to shift left on observability, scaling their deployment and dramatically reducing application latency.

Recent Trend

Visibility-7.2 pts
Avg position-0.36
Sentiment+0.03

How AI describes New Relic3

New Relic uses a single, unified database to combine full-stack observability with business-centric data, allowing users to track business outcomes by mapping application performance to revenue or user metrics.

What's the quickest distributed tracing platform to set up across a microservices architecture on a container orchestration platform?

google-ai-modeDirect New Relic mention
New Relic : Supports OTLP ingestion. * Dynatrace : Supports OTLP ingestion.

Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?

google-ai-modeDirect New Relic mention
...t fatigue through smart routing, AI-driven correlation, and dynamic thresholds include Datadog , Dynatrace , New Relic , and Splunk Observability Cloud . These platforms excel by shifting from static, rule-based alerts to anomaly-ba...

What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly?

google-ai-modeDirect New Relic mention

Alternatives in Observability & Monitoring6

New Relic positions itself as the only AI-powered, all-in-one observability platform built for every engineer, differentiating on breadth (50+ capabilities in a single unified platform), transparent usage-based pricing with a generous free tier, and being the sole vendor named a Gartner Magic Quadrant Leader in every iteration of the Observability Platforms report since 2012 (13 consecutive times as of 2025).

  • It emphasizes tool consolidation—replacing point solutions with a single pane of glass across metrics, events, logs, and traces (MELT)—and increasingly targets AI and agentic workload monitoring as a growth frontier versus rivals like Datadog and Dynatrace.
View category comparison hub

Reviews

Praised

  • Real-time monitoring and performance visibility across the full stack
  • Intuitive, customizable dashboards
  • Seamless multi-language and framework integrations
  • Comprehensive APM with distributed tracing and transaction-level detail
  • Reliable alerting and anomaly detection
  • Unified logs, metrics, and traces in a single platform
  • Generous free tier and transparent pricing model
  • Strong support and account team responsiveness

Criticized

  • Pricing escalates quickly at scale; costs perceived as high for large data volumes
  • Steep learning curve for NRQL and advanced configuration
  • Complex initial setup and agent instrumentation effort
  • UI can feel cluttered with too many options
  • Feature deprecations (e.g., Drop Rules) force engineering rework
  • Limited default data retention on lower tiers (8 days)
  • Account management continuity issues and sales org accessibility
  • Alert configuration lacks sufficient automation and intelligence in some workflows

Across Gartner Peer Insights (4.5/5, 1,392 reviews, July 2025) and G2 (4.4/5, 601 reviews), New Relic earns consistently high marks for real-time visibility, unified dashboards, and ease of integration. 90% of Gartner respondents indicate willingness to recommend the platform. Praise centers on APM depth, distributed tracing, and the breadth of the unified platform. Criticism is concentrated on pricing escalation at scale, the learning curve for NRQL and advanced configuration, and historical product deprecations requiring engineering effort to adapt. Enterprise buyers on Gartner note inconsistent account management continuity and some complexity in alert setup.

Pricing

Usage-based model with four tiers.

  • Free

    100 GB data ingest/month, 1 full platform user, unlimited basic users, 8-day default data retention—no credit card required.

  • Standard

    up to 5 full platform users, additional full platform users at $10 (first) / $99 each, data at $0.40/GB beyond 100 GB.

  • Pro

    unlimited full platform users at $349/user/year (or $418.80/month pay-as-you-go), data at $0.40/GB (original) or $0.60/GB (Data Plus with extended retention and FedRAMP/HIPAA eligibility).

  • Enterprise

    custom pricing, FedRAMP Moderate and HIPAA compliance, 24/7 dedicated support, 1-hour critical response SLA. An optional Compute pricing model (CCU-based, no user fees) is available on Pro and Enterprise. No host, agent, or container-count fees on any tier.

Limitations

  • Reviewers consistently cite escalating costs as data ingest volumes grow, with pricing complexity and hidden fees noted as pain points.
  • The platform carries a steep learning curve—NRQL (New Relic Query Language) is frequently flagged as unintuitive for newcomers.
  • Initial agent setup and alert configuration require significant effort.
  • Some users report that the UI can feel cluttered with too many options, and certain advanced features (e.g., Drop Rules) have been deprecated, forcing rework.
  • Data retention on lower tiers is limited to 8 days by default.
  • Sales and account management continuity has been flagged as an area for improvement by enterprise buyers on Gartner Peer Insights.

Frequently asked questions

Topic coverageCoverage by buyer topic

Topic Coverage

Capability3/5DevEx5/5Integrations &Ecosystem3/5Performance &Reliability3/5Setup & First Run5/5

Prompt-Level Results

Brand citedCompetitor citedNot cited
PromptGoogle AI ModeGemini SearchBing CopilotChatGPTPerplexityGrok
Capability3/5 cited (60%)

Which observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry?

Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning?

I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach?

Which enterprise observability platforms handle multi-tenant environments with isolated views per team or service best?

Which observability platforms support real user monitoring alongside backend APM for correlating frontend and backend performance?

Developer Experience5/5 cited (100%)

Which observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident?

Which observability platforms have the best alert management features to help teams reduce alert fatigue through smart routing and thresholds?

Which observability platforms make it easiest for developers new to OpenTelemetry to adopt a trace-first workflow?

Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system?

Which monitoring platforms offer the best on-call experience — from alert firing through to root cause identification?

Integrations & Ecosystem3/5 cited (60%)

Which APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility?

Which observability backends support receiving OpenTelemetry data simultaneously to avoid vendor lock-in?

Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?

Which observability platforms integrate best with incident management and on-call scheduling tools for a seamless response workflow?

What log shipping tools work best for getting structured logs from containerized applications to an observability platform without code changes?

Performance & Reliability3/5 cited (60%)

What observability platforms offer the best tail-based sampling for high-throughput systems to control costs without losing important traces?

Which SaaS monitoring platforms have the lowest ingestion lag during high-volume log bursts so alerting stays fast?

Which observability platforms handle data retention and query performance best as log volume grows into terabytes per day?

Which cloud observability platforms have the most reliable synthetic monitoring checks with the lowest false positive rates?

Which distributed tracing platforms add the least overhead to latency-sensitive APIs — safe to run in production at full sampling?

Setup & First Run5/5 cited (100%)

What's the quickest distributed tracing platform to set up across a microservices architecture on a container orchestration platform?

What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data?

What observability platforms support unified metrics, traces, and logs instrumentation for Node.js and Python polyglot applications?

What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly?

Which APM tools have the best day-one onboarding to get immediate value without drowning in noise?

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Vertical Ranking

#BrandPres.SoVDocsBlogMent.PosSentiment
1New Relic21.3%19.2%2.0%19.3%58.0%#14.7+0.44
2Datadog15.3%18.5%4.7%9.3%76.0%#16.2+0.38
3Splunk12.0%11.7%0.7%8.7%37.3%#19.7+0.43
4Grafana10.0%10.0%5.3%3.3%8.7%#26.1+0.50
5Honeycomb8.7%10.3%2.0%5.3%38.0%#24.3+0.55
6Dynatrace8.0%12.5%6.0%3.3%53.3%#40.9+0.35
7Better Stack6.7%5.7%0.7%0.7%8.0%#13.5+0.42
8Logz.io4.7%2.8%0.0%4.0%4.7%#9.6+0.45
9Coralogix4.0%2.8%0.0%0.0%5.3%#6.6+0.62
10Elastic4.0%3.9%0.7%1.3%26.7%#28.4+0.53
11Chronosphere1.3%1.1%0.0%0.0%4.7%#21.7+0.55
12Axiom0.7%1.1%0.0%0.7%4.0%#74.7+0.80
13Mezmo0.7%0.4%0.7%0.0%0.7%#75.0+0.80
14Sentry0.0%0.0%0.0%0.0%6.7%

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