New Relic AI
New Relic AI is an observability platform that combines application performance monitoring (APM), infrastructure monitoring, digital experience monitoring, and AI-driven analytics into a single, unified interface.
Publisher review
New Relic AI is an observability platform that combines application performance monitoring (APM), infrastructure monitoring, digital experience monitoring, and AI-driven analytics into a single, unified interface. Founded in 2008 and headquartered in San Francisco, it targets engineering teams—from startups to large enterprises—that need to correlate metrics, traces, logs, and user interactions without juggling multiple point solutions. The platform ingests telemetry from 780+ integrations and 30+ observability tools, all accessible through one dashboard and a natural-language query interface called New Relic AI. Its free tier offers 100 GB of data ingest per month with unlimited dashboards and alerts, making it a low-risk entry point for teams evaluating a full-stack observability solution.
The platform works by collecting telemetry via open-source agents (OpenTelemetry, Prometheus) or proprietary agents, then storing it in a unified data store. Users can query across logs, traces, and metrics using natural language—for example, asking New Relic AI to "show me the top five errors in the last hour" or "correlate CPU spikes with deployment events." It supports multi-language instrumentation for Java, Python, Node.js, Go, .NET, Ruby, PHP, and more. Real-time dashboards are customizable with drag-and-drop widgets, and alerting can be configured on any metric or log pattern. The platform includes error tracking with distributed tracing, so teams can follow a single request across microservices. Pricing is usage-based (per GB ingested) with no overage charges, no indexed-data premiums, and no per-host restart fees—a model designed to eliminate the surprise bills common with competitors.
In the observability market, New Relic competes directly with Datadog, Grafana Labs, and Prometheus. A side-by-side comparison on New Relic's site claims up to 3x savings versus Datadog, citing Datadog's highwater-mark billing, forced product dependencies, and 50% overage premiums for logs. Grafana Cloud positions itself as a lower-cost alternative with OpenTelemetry-native architecture and Adaptive Telemetry to drop low-signal data. User reviews on Reddit and Capterra note that New Relic is "quite powerful and fully featured" but "expensive" compared to open-source alternatives. The platform's strength lies in its all-in-one packaging—50+ capabilities in a single SKU—but its proprietary query language (NRQL) and agent auto-updates can lead to unexpected ingestion increases if not tuned.
Honest trade-offs: New Relic's pricing, while transparent, can still be costly for high-volume telemetry—a Reddit user noted that Datadog's metrics costs are unpredictable, but New Relic's per-GB model can escalate if ingestion isn't managed. The free tier (100 GB/month) is generous for evaluation but limited compared to Grafana Cloud's 10,000 series metrics free tier. Setup complexity is a common complaint: users report that integrating all 30+ tools and configuring alerts requires significant upfront effort. Finally, the platform's reliance on proprietary agents for some features (e.g., browser monitoring) means teams that want full data portability may prefer OpenTelemetry-native alternatives like Grafana or SigNoz.
How it works
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Unified observability platform
Combines APM, infrastructure, logs, traces, and real-user monitoring in one interface with 50+ capabilities per plan.
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AI-driven natural language queries
Users can ask New Relic AI to analyze logs, troubleshoot errors, and correlate trends across all telemetry data.
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780+ integrations
Pre-built connectors for popular services including AWS, Azure, GCP, Kubernetes, Docker, and 30+ observability tools.
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Usage-based pricing with no overages
Pay per GB ingested; no indexed-data premiums, no per-host restart fees, and no penalties for volume spikes.
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Real-time dashboards and alerting
Customizable drag-and-drop dashboards with alerting on any metric, log pattern, or trace anomaly.
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Multi-language APM support
Instrumentation agents for Java, Python, Node.js, Go, .NET, Ruby, PHP, and more with distributed tracing.
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Free tier with 100 GB monthly ingest
Includes unlimited dashboards, queries, and alerts; no time limit on the free tier.
Strengths and trade-offs
Strengths
- Unified platform eliminates tool sprawl by providing 50+ capabilities in a single SKU with no forced product dependencies.
- Usage-based pricing with no overage charges or indexed-data premiums, offering up to 3x savings versus Datadog per New Relic's own comparison.
- Free tier includes 100 GB of data ingest per month with unlimited dashboards and alerts, suitable for evaluation and small teams.
- AI-driven insights accessible via natural language queries across all telemetry data, not siloed to a single monitoring area.
Trade-offs
- Per-GB pricing can become expensive for high-volume telemetry; a Reddit user noted it's 'quite powerful but expensive' compared to open-source alternatives.
- Setup complexity is a common complaint, with users reporting that integrating all 30+ tools and configuring alerts requires significant upfront effort.
- Proprietary agents and NRQL query language create vendor lock-in, unlike OpenTelemetry-native platforms such as Grafana Cloud.
- Free tier's 100 GB monthly limit is generous but still restrictive for larger teams; Grafana Cloud offers 10,000 series metrics free with no time limit.
Pricing context
Usage-based pricing per GB ingested with two telemetry data options (New Relic Data and New Relic Data Plus) and two compute models (New Relic Compute and New Relic User). Free tier: 100 GB/month, unlimited dashboards and alerts. No overage charges, no indexed-data premiums, no per-host restart fees.
Getting started with New Relic AI
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Sign up for free tier
Go to New Relic's website and create an account. Choose the free tier which includes 100 GB of data ingest per month with unlimited dashboards and alerts. No credit card is required for sign-up.
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Install an APM agent
Select your application's language (Java, Python, Node.js, etc.) and follow the in-app instructions to download and install the New Relic agent. Configure the agent with your license key to start sending telemetry data.
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Connect data sources
Use the integrations catalog to connect your infrastructure services like AWS, Kubernetes, or Docker. For each service, follow the guided setup to enable data collection and ensure telemetry flows into your New Relic account.
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Query with natural language
Open the New Relic AI query interface and type a question in plain English, such as 'show me the top five errors in the last hour.' Review the results and refine your query to drill down into specific traces or logs.
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Set up a dashboard and alert
Create a new dashboard using drag-and-drop widgets to visualize key metrics like response time and error rate. Configure an alert on any metric or log pattern, set a notification channel (email, Slack), and enable the alert.
Frequently Asked Questions
What is New Relic AI and what does it do?
New Relic AI is an observability platform that combines APM, infrastructure monitoring, digital experience monitoring, and AI-driven analytics in one interface. It ingests telemetry from 780+ integrations and lets users query logs, traces, and metrics using natural language.
How does New Relic AI pricing work?
New Relic uses usage-based pricing per GB ingested with no overage charges, no indexed-data premiums, and no per-host restart fees. It offers two telemetry data options and two compute models. A free tier provides 100 GB of data ingest per month with unlimited dashboards and alerts.
What is the New Relic free tier and what does it include?
The New Relic free tier includes 100 GB of data ingest per month with unlimited dashboards, queries, and alerts. There is no time limit on the free tier, making it a low-risk entry point for teams evaluating a full-stack observability solution.
How does New Relic AI compare to Datadog?
New Relic claims up to 3x savings versus Datadog, citing Datadog's highwater-mark billing, forced product dependencies, and 50% overage premiums for logs. New Relic's usage-based pricing with no overage charges aims to eliminate surprise bills common with competitors.
What are the main weaknesses of New Relic AI?
Per-GB pricing can become expensive for high-volume telemetry. Setup complexity is a common complaint, as integrating all 30+ tools and configuring alerts requires significant upfront effort. Proprietary agents and NRQL query language create vendor lock-in compared to OpenTelemetry-native platforms.
Can I use natural language to query New Relic AI?
Yes, New Relic AI includes a natural-language query interface. Users can ask questions like 'show me the top five errors in the last hour' or 'correlate CPU spikes with deployment events' to analyze logs, troubleshoot errors, and correlate trends across all telemetry data.
Alternatives
How New Relic AI compares
Direct head-to-head against 3 competitors. Picked by 7wData.
New Relic AI
- Pricing
- Usage-based pricing per GB ingested with two telemetry data options (New Relic Data and New Relic Data Plus) and two compute models (New Relic Compute and New Relic User). Free tier: 100 GB/month, unlimited dashboards and alerts. No overage charges, no indexed-data premiums, no per-host restart fees.
- Target
- New Relic AI is an observability platform that combines application performance monitoring (APM), infrastructure monitoring, digital experience monitoring, and AI-driven analytics into a single, unified
- Strength
- Unified platform eliminates tool sprawl by providing 50+ capabilities in a single SKU with no forced product dependencies.
- Watch for
- Per-GB pricing can become expensive for high-volume telemetry; a Reddit user noted it's 'quite powerful but expensive' compared to open-source alternatives.
Datadog
- Pricing
- $15/host/month (Pro plan), APM from $31/host/month
- Target
- Organizations needing comprehensive observability across hybrid and multi-cloud environments
- Deployment
- Cloud, SaaS
- Strength
- 600+ integrations with third-party services
- Watch for
- Costs can escalate with scale, complex pricing model
Dynatrace
- Pricing
- Usage-based, contact sales
- Target
- Enterprise teams needing AI-powered automation
- Deployment
- Cloud, SaaS, On-premises
- Strength
- Davis AI engine for automated root cause analysis
- Watch for
- High learning curve, premium pricing
Uptrace
- Pricing
- Free open source (AGPL); commercial licenses with transparent pricing
- Target
- Teams adopting OpenTelemetry and cost-efficiency
- Deployment
- Self-hosted, Cloud
- Strength
- ClickHouse-based storage for 10-20x data compression
- Watch for
- Smaller ecosystem than established vendors
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Sources
Reporting on this tool draws on these publicly available sources.