AI visibility report for New Relic
Vertical: Observability & Monitoring
AI search visibility benchmark across 5 platforms in Observability & Monitoring.
Presence Rate
Top-3 citations across 125 prompt × platform pairs
Sentiment
Peer Ranking
Key Metrics
Platform Breakdown
Google AI Mode
ChatGPT
Perplexity
Grok
Gemini SearchOverview
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
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
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.
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
How AI describes New Relic3
The Commercial SaaS Speed Champions: Datadog / Lumigo / New Relic --------------------------------------------------------------------- If you have the budget for a SaaS platform, commercial tools offer the fastest time-to-value because they manage the...
What's the quickest distributed tracing platform to set up across a microservices architecture on a container orchestration platform?
New Relic (Change Tracking) ------------------------------- New Relic features a dedicated Change Tracking framework built to bridge the gap between git commits and system degradation.
Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?
New Relic New Relic utilizes its AI (formerly Applied Intelligence) to handle anomaly detection at scale.
Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning?
Most cited sources8
- N33
5 Top Observability Tools For Unified Visibility & Faster Resolution | New Relic
newrelic.com·Product Page
- N20
5 Best Application Performance Monitoring Tools to Consider in 2026
newrelic.com·Blog Post
- N15
5 Best Distributed Tracing Tools to Debug Microservices Faster | New Relic
newrelic.com·Blog Post
- N13
AI-powered Observability
newrelic.com·Article
- D10
Introduction to change tracking | New Relic Documentation
docs.newrelic.com·Documentation
- N8
New Relic Observability Platform | New Relic
newrelic.com·Product Page
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.
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 Coverage
Prompt-Level Results
| Prompt | Perplexity | Gemini Search | ChatGPT | Grok | Google AI Mode |
|---|---|---|---|---|---|
Capability4/5 cited (80%) | |||||
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? | |||||
Which observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry? | |||||
Developer Experience5/5 cited (100%) | |||||
Which observability platforms make it easiest for developers new to OpenTelemetry to adopt a trace-first workflow? | |||||
Which monitoring platforms offer the best on-call experience — from alert firing through to root cause identification? | |||||
Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system? | |||||
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? | |||||
Integrations & Ecosystem5/5 cited (100%) | |||||
Which observability platforms integrate best with incident management and on-call scheduling tools for a seamless response workflow? | |||||
Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes? | |||||
Which APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility? | |||||
What log shipping tools work best for getting structured logs from containerized applications to an observability platform without code changes? | |||||
Which observability backends support receiving OpenTelemetry data simultaneously to avoid vendor lock-in? | |||||
Performance & Reliability4/5 cited (80%) | |||||
Which cloud observability platforms have the most reliable synthetic monitoring checks with the lowest false positive rates? | |||||
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 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 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? | |||||
What observability platforms support unified metrics, traces, and logs instrumentation for Node.js and Python polyglot applications? | |||||
What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data? | |||||
Strengths5
Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning?
Avg # 1.0 · 1 platform
What log shipping tools work best for getting structured logs from containerized applications to an observability platform without code changes?
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 # 3.5 · 2 platforms
What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly?
Avg # 4.0 · 1 platform
Which observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident?
Avg # 5.0 · 2 platforms
Gaps5
Which enterprise observability platforms handle multi-tenant environments with isolated views per team or service best?
Competitors on 3 platforms
Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?
Competitors on 3 platforms
What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data?
Competitors on 3 platforms
I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach?
Competitors on 2 platforms
Which SaaS monitoring platforms have the lowest ingestion lag during high-volume log bursts so alerting stays fast?
Competitors on 2 platforms
Vertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | New Relic | 33.6% | 21.8% | 3.2% | 28.8% | 30.4% | #13.9 | +0.27 |
| 2 | Datadog | 28.0% | 20.1% | 9.6% | 16.0% | 26.4% | #16.0 | +0.32 |
| 3 | Grafana Labs | 16.8% | 13.1% | 8.0% | 2.4% | 15.2% | #21.4 | +0.40 |
| 4 | Splunk | 15.2% | 9.5% | 0.8% | 11.2% | 13.6% | #20.0 | +0.18 |
| 5 | Dynatrace | 15.2% | 11.9% | 8.0% | 4.0% | 15.2% | #34.0 | +0.32 |
| 6 | Honeycomb | 10.4% | 10.0% | 3.2% | 5.6% | 9.6% | #24.3 | +0.33 |
| 7 | Logz.io | 8.0% | 3.2% | 0.0% | 7.2% | 7.2% | #9.3 | +0.29 |
| 8 | Better Stack | 8.0% | 3.4% | 0.8% | 0.8% | 6.4% | #17.9 | +0.21 |
| 9 | Elastic | 6.4% | 2.9% | 1.6% | 0.8% | 5.6% | #30.2 | +0.26 |
| 10 | Coralogix | 5.6% | 1.7% | 0.8% | 2.4% | 5.6% | #11.9 | +0.33 |
| 11 | Chronosphere | 3.2% | 1.5% | 0.0% | 0.0% | 3.2% | #17.7 | +0.38 |
| 12 | Axiom | 0.8% | 0.7% | 0.0% | 0.8% | 0.8% | #74.7 | +0.80 |
| 13 | Mezmo | 0.8% | 0.2% | 0.8% | 0.0% | 0.8% | #75.0 | +0.80 |
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