# New Relic

Canonical: https://slateindex.ai/products/new-relic

By Newrelic.

Telemetry platform for application, infrastructure, and digital experience monitoring.

Updated: 2026-07-17T10:39:50.051873+00:00

## Product overview

New Relic is an observability platform designed to help engineering, SRE, and platform teams understand application behavior, infrastructure health, logs, and digital experience from one place. Its public materials position the product around full-stack visibility, AI-assisted analysis, and usage-based pricing, which makes it a strong fit for buyers who want to reduce tool sprawl while improving incident response and operational clarity.

The platform emphasizes both breadth and flexibility. New Relic highlights 50+ capabilities, 780+ integrations, and support for OpenTelemetry, while its pricing and documentation describe a free tier with 100 GB of monthly ingest and multiple editions or add-ons for teams that need more scale, compliance, or advanced compute. That combination is especially relevant for organizations that want to start quickly, expand gradually, and keep observability aligned with actual usage.

Buyers should also view New Relic as an AI-forward observability platform rather than a traditional dashboard-only tool. The homepage and platform pages call out intelligent insights, intelligent action, AI and agentic monitoring, and even automated remediation, suggesting a product direction focused on prediction and response as well as detection. For teams running modern, distributed, and increasingly AI-enabled systems, that can translate into a more connected and operationally useful observability experience.

New Relic is an observability platform for teams that need to monitor applications, infrastructure, logs, and digital experience in one place. It is positioned for organizations that want full-stack visibility, usage-based pricing, and AI-assisted analysis to help find and resolve issues faster.

The platform is a fit for engineering, SRE, DevOps, and platform teams that need to correlate telemetry across services and scale observability without adding a lot of tool sprawl.

## TL;DR

- Combines application, infrastructure, log, and experience monitoring in a single observability platform.
- Offers a perpetual free tier with 100 GB of monthly ingest included.
- Uses usage-based pricing with data, user, and compute-based options depending on edition and plan.
- Includes AI-powered and agentic monitoring capabilities alongside traditional observability workflows.
- Supports a broad integration ecosystem and open telemetry workflows for heterogeneous stacks.

## Feature catalog

### Unified observability and telemetry

New Relic presents itself as an all-in-one observability platform that brings together metrics, events, logs, traces, and related analysis tools. The product site emphasizes complete visibility across the stack and a single unified experience designed to remove silos between data, tools, and teams. This makes it suitable for buyers who want one platform for application, infrastructure, and digital experience monitoring rather than multiple point tools.

- Full-stack observability: New Relic describes its platform as a unified data platform for telemetry data and says it helps engineers plan, build, deploy, and run software. The platform page also highlights 50+ capabilities in a single experience, which supports buyers looking to consolidate observability workflows.
- Application, infrastructure, and log monitoring: The homepage and platform page surface core observability modules including APM, Infrastructure Monitoring, Log Management, and Digital Experience Monitoring. That combination is useful for teams that need to connect service health, backend performance, and user impact in one workflow.
- OpenTelemetry and integrations: New Relic says it supports OpenTelemetry and advertises 780+ integrations. For buyers operating mixed environments, that breadth can reduce instrumentation friction and make it easier to connect existing tools and telemetry sources to the platform.

### AI-assisted insights and automation

New Relic positions AI as a core part of the product experience, not just an add-on. Its messaging emphasizes intelligent insights, predictive action, and automated remediation, which suggests a focus on helping teams reduce mean time to resolution and detect issues before they affect customers or revenue. This may appeal to buyers looking to bring more automation into operations and incident response.

- AI-powered observability: The homepage says "Intelligent Observability resolves issues at scale—before they impact your bottom line." The platform page further describes intelligent insights and intelligent action, framing AI as a way to connect observability data to business impact and operational response.
- Agentic and AI monitoring: New Relic highlights AI and agentic monitoring for controlling behavior and token usage across the AI stack and for monitoring model and agent interactions in real time. This is relevant for teams building AI-enabled products that need visibility into reliability, quality, and cost.
- Automation and remediation: The homepage references an SRE Agent and says the product moves "beyond assistance to automated remediation." For teams under incident pressure, that indicates New Relic is aiming to support more automated operational workflows rather than just dashboards and alerts.

### Pricing, packaging, and scale

New Relic uses a usage-based model and offers multiple billing paths depending on how a customer wants to consume the platform. The pricing page, docs, and pricing datasheet consistently describe a free tier, data-based pricing, and edition-based options such as Standard, Pro, and Enterprise. The documents also show that the platform is designed to support scale with free ingest allowances and optional add-ons for advanced capabilities.

- Free tier and data ingest allowance: New Relic says its free tier includes 100 GB of data ingest per month and unlimited free basic users. That gives teams a way to begin with the platform before committing to paid usage.
- Usage-based billing model: The docs explain that pricing is based on GB ingested and that New Relic bills for data regardless of type. The pricing page also states "Only pay for what you use," which aligns with a consumption-based buying motion.
- Edition and add-on structure: New Relic’s pricing page and docs describe Standard, Pro, and Enterprise editions, as well as add-ons such as Data Plus, Advanced Compute, and retention extensions. This structure gives buyers flexibility to match packaging to team size, compliance needs, and usage patterns.

## Target market

### Teams and use cases

- Engineering teams
- SRE and operations teams
- Platform engineering teams
- DevOps organizations
- Security-minded observability buyers
- Teams building AI-enabled applications

### Company sizes

- Small teams
- Mid-market organizations
- At-scale enterprises

### Industries

- Retail/Commerce
- Media/Entertainment
- Finance
- SaaS/Technology
- Telecommunications
- Automotive

### Poor-fit caveats

- Organizations that want a fixed-seat, non-usage-based observability contract may need to evaluate whether New Relic’s billing model fits their procurement preference.
- Teams that do not need broad telemetry correlation across applications, infrastructure, logs, and digital experience may find the platform broader than necessary.

## Buyer personas

### VP of Engineering or Engineering Director

Owns engineering productivity, reliability, and platform standardization across teams.

**Buying triggers**

- Tool consolidation initiative
- Need to improve release reliability
- Rising observability spend
- Scaling a multi-team engineering organization

### SRE / Operations leader

Responsible for incident response, service health, and operational automation.

**Buying triggers**

- Persistent incidents or outages
- Need for better MTTR
- Desire to unify alerting, dashboards, and root-cause analysis
- Move toward automated remediation

### Platform or Cloud Infrastructure lead

Manages cloud-native environments, Kubernetes, infrastructure visibility, and telemetry standards.

**Buying triggers**

- Kubernetes scaling
- Hybrid or multi-cloud expansion
- Instrumentation standardization with OpenTelemetry
- Need to tie infra health to application impact

## About the company

New Relic is an observability vendor focused on helping teams monitor and understand modern software systems through a unified platform. Its public materials emphasize full-stack visibility, AI-powered analysis, and usage-based pricing that scales with telemetry consumption and organizational needs.

- Verified fact: The platform page says New Relic offers "50+ capabilities" and "780+ integrations".
- Verified fact: The homepage says the company is "Trusted by the world’s best" and names sectors including Retail/Commerce, Media/Entertainment, Finance, SaaS/Technology, Telecommunications, and Automotive.
- Verified fact: The about page says New Relic is a unified data platform for metrics, events, logs, and traces.
- Limitation: The supplied documents do not provide a detailed customer count.
- Limitation: The supplied documents do not provide an audited independent rating or review count for the product.
- Limitation: The available materials are marketing and documentation pages, so implementation depth and customer outcomes should be validated in a demo or trial.

## Competitive landscape

New Relic competes in the observability market as a broad full-stack platform with strong overlap against other major observability suites. In the measured context, Datadog appears as the most frequently mentioned peer, followed by Grafana Labs, Dynatrace, Splunk Observability, Elastic Observability, Honeycomb, and Coralogix. New Relic’s own materials position it around unified visibility, open telemetry support, and AI-assisted operations rather than a narrow point solution.

- Datadog
- Grafana Labs
- Dynatrace
- Splunk Observability
- Elastic Observability
- Honeycomb
- Coralogix

## AI visibility dashboard

| Assistant | Visibility |
|---|---|
| all | 50.2 |
| claude | 45.9 |
| gemini | 57.1 |
| chatgpt | 79.9 |
| perplexity | 33.9 |
| google_ai_mode | 34.3 |

## Sources AI trusts

- google.com (940)
- youtube.com (41)
- github.com (36)
- gitlab.com (30)
- medium.com (27)
- octopus.com (27)
- northflank.com (21)
- reddit.com (21)
- dev.to (19)
- atlassian.com (17)
- openobserve.ai (17)
- pagerduty.com (16)
- oneuptime.com (15)
- circleci.com (14)
- jetbrains.com (13)
- newrelic.com (12)
- toolradar.com (12)
- linkedin.com (11)
- cicdcalculator.com (10)
- gitnux.org (10)

## Real AI answers

### gemini

Question: Which tools have the best support for Kubernetes deployments?
Answer: For robust support in Kubernetes deployments, consider tools that offer comprehensive management, streamlined GitOps workflows, efficient application packaging, and integrated CI/CD capabilities. For overall Kubernetes management and multi-cluster environments, Portainer is a strong choice, offering an intuitive UI, visual role-based access control (RBAC), and GitOps automation, making it accessible even without deep Kubernetes expertise. Rancher is another excellent option, particularly for managing diverse fleets across various cloud providers and on-premise infrastructure, providing centralized control and unified security policies. For enterprises in regulated industries or those deeply invested in Red Hat environments, Red Hat OpenShift provides an all-in-one platform with built-in security and CI/CD. For GitOps-driven continuous delivery, Argo CD stands out as a Kubernetes-native tool that continuously synchronizes your cluster state with your Git repositories, offering real-time drift detection and a user-friendly interface. Its companion, Argo Rollouts, provides advanced deployment strategies like blue-green and canary releases. Flux CD is another highly regarded GitOps solution for lightweight, automated deployments. For packaging and managing Kubernetes applications, Helm is the de-facto package manager, simplifying the definition, installation, and upgrade of complex Kubernetes applications through reusable charts. The native kubectl command-line tool remains essential for direct cluster interaction, debugging, and scripting. For CI/CD pipelines with strong Kubernetes integration, Codefresh specializes in Kubernetes-native CI/CD, offering GitOps workflows, fast builds, and deep observability. GitLab CI/CD provides integrated CI/CD features with built-in Kubernetes components and Helm chart support. Jenkins X is a Kubernetes-centric reimagining of Jenkins, supporting GitOps and automated deplo

### chatgpt

Question: Which observability platforms support metrics, logs, and traces in one product?
Answer: Yes — several major observability platforms support metrics, logs, and traces in one product: 1. Datadog — a unified observability platform that brings together metrics, logs, and traces in one place. (datadoghq.com) 2. New Relic — a unified telemetry platform that ingests metrics, logs, and traces into a single data store and query experience. (newrelic.com) 3. Grafana Cloud — supports correlated metrics, logs, traces (and profiles) within the Grafana Cloud observability platform. (grafana.com) If you want the shortest recommendation: Datadog, New Relic, and Grafana Cloud are the clearest all-in-one options. If you’d like, I can also narrow this to the best choice for SaaS, Kubernetes, or cost-sensitive teams.

### claude

Answer: I'll search for current information about observability platforms that offer unified metrics, logs, and traces capabilities.Let me search for more specific information about the major established platforms to provide a balanced recommendation.Based on my research, here are the observability platforms that support metrics, logs, and traces in one unified product: Enterprise SaaS Platforms Datadog is a top choice for cloud-native enterprises that want a unified SaaS platform combining APM, infrastructure monitoring, RUM, and security observability. It has expanded well beyond its original APM roots into a full observability stack covering infrastructure metrics, logs, traces, real user monitoring, synthetics, and security. New Relic offers a unified SaaS observability experience combining logs, metrics, traces, and synthetics under one pricing model. New Relic's NRDB (New Relic Database) stores all signal types in a unified telemetry database, and the Basic tier provides 100 GB of ingested data per month and one full-platform user, indefinitely. Dynatrace continues to serve large enterprises that prioritize automation and deep analytics, with its Davis AI engine correlating billions of metrics and events to surface root causes automatically. Open Source & Cost-Effective Options Grafana Cloud is powered by Grafana Labs' open source projects – Grafana for visualization, Loki for logs, Mimir for metrics, and Tempo for traces, providing a managed unified experience. SigNoz is a rapidly growing open-source alternative to platforms like Datadog and New Relic, built on OpenTelemetry and using ClickHouse for storage, offering a unified solution for metrics, traces, and logs in a single application. Elastic Observability integrates data from logs, metrics, traces, and uptime information, aggregating and visualizing operational data in real time by providing a unified platform to streamline incident response. Splunk Observability Cloud

### gemini

Answer: For an en-US buyer seeking observability platforms that unify metrics, logs, and traces in a single product, several leading solutions offer comprehensive capabilities: 1. New Relic provides a unified observability platform that ingests metrics, events, logs, and traces (often referred to as "MELT" data) into a single data store with a common query language (NRQL). It emphasizes "Logs in Context," which directly links log lines to the traces and entities that produced them, facilitating faster troubleshooting. 2. Datadog offers a unified cloud observability and security platform that collects, processes, and correlates metrics, logs, and traces from across your entire stack. It allows users to pivot between these data types with a single click and automatically correlates them through common tags and identifiers. 3. Dynatrace is an observability platform with a strong focus on AI-driven application performance monitoring. It uses telemetry data such as logs, metrics, and traces to provide insights into application, infrastructure, and user experience performance. Dynatrace offers automated problem detection and root cause analysis by correlating traces, events, metrics, and logs across its platform. 4. Splunk Observability Cloud is a unified platform designed to bring together visibility across applications, infrastructure, networks, user experience, and business processes. It provides tools to collect, manage, and visualize metrics, events, logs, and traces, enabling correlation of performance telemetry with log data for faster root-cause analysis. 5. Grafana Cloud offers a tightly integrated stack that combines metrics, logs, and traces with Grafana visualizations. It allows users to smoothly pivot between observability signals, correlate logs to traces, and provides fully managed systems for log aggregation (Grafana Cloud Logs powered by Loki) and distributed tracing (Grafana Cloud Traces powered by Tempo). 6. Observe integrates logs, APM

## AI consensus

New Relic’s review footprint in the supplied documents points to a platform that is attractive to observability buyers who want breadth, usability, and room to grow. The strongest qualitative signal comes from the G2 pros-and-cons summary, which calls out an intuitive, easy-to-use UI and quick access to vital metrics and data. That matches the product’s own positioning around full-stack observability across APM, infrastructure, logs, digital experience, and security, making it a natural fit for teams trying to consolidate monitoring into one place.

At the same time, the pricing and marketplace snippets show why some buyers may hesitate. New Relic’s official pricing is usage-based, includes a perpetual free tier, and changes by edition and add-on, while marketplace pages surface different starting-price references. That combination suggests the product can be easy to start with, but harder to forecast as usage scales. For buyers evaluating observability at enterprise depth, the platform appears strongest when breadth, flexibility, and a unified view matter more than rigidly predictable pricing.

Overall, the supplied reviews and third-party snippets support a buyer profile of engineering and platform teams that want a broad, modern observability stack and are comfortable trading pricing simplicity for feature depth. Smaller teams can begin on the free tier, while larger teams can move into higher editions as their monitoring needs expand. The most consistent negative signal is not product capability, but pricing variability and edition complexity.

## Pricing

New Relic’s public pricing is built around usage rather than a single flat subscription. The company positions the model as simple and transparent, with a perpetual Free tier for teams that want to start without a credit card, plus paid editions and add-ons for organizations that need more scale, more users, or advanced compliance and retention features. On the official pricing page, New Relic says buyers can “Pay as you grow,” and the pricing documentation explains that the primary billing inputs are data ingested, user edition, and optional compute or data-capability add-ons. For buyers evaluating observability budgets, the important distinction is that some prices are openly published while others are quote-only or tied to a contract, so the best estimate depends on whether you are buying on pure usage, a committed contract, or a custom enterprise arrangement.

The clearest public entry point is the Free tier, which includes 100 GB of ingest per month, unlimited free basic users, one free full platform user, and access to more than 50 capabilities. From there, New Relic publishes a data-metered price of $0.40 per GB ingested beyond the free 100 GB, plus a separate set of list prices for user editions and add-ons in the usage plan. Standard is described as the starting point for small teams, but its public price is not shown on the main pricing page. Pro and Enterprise include broader access and support, and the usage plan lists their per-user prices under different billing cadences, including annual upfront, monthly billing, and pay-as-you-go for Pro and Enterprise full platform users. The same documentation also confirms that optional features such as Advanced Compute, EU data region selection, extended retention, synthetic checks, and Live Archives can add cost.

For buyers comparing observability vendors, this means New Relic is not a simple per-seat tool and not a simple per-GB tool; it is both, depending on the edition and plan structure. That can be attractive for teams that want to start free and then scale usage gradually, but it can also make forecasted spend more dependent on telemetry volume, user mix, and add-on adoption. The public materials also make clear that commitment contracts can unlock discounted rates, while overages, retention, and specialized compliance features can raise the bill. In practice, the most predictable cost path is to model ingest, user types, and any Advanced Compute or data-region requirements together before requesting pricing.

Visibility score: 50.2
Mention rate: 55.0%
Eligible runs: 40

## Category rankings

| Category | Rank | Visibility |
|---|---|---|
| Observability | 2 | 50.2 |

## Citation domains

- openobserve.ai (1)
- rootly.com (1)
- uptrace.dev (1)
- doit.com (1)
- google.com (1)

Enriched at: 2026-07-17T10:39:50.051873+00:00

## Sources

- Source: https://www.g2.com/products/new-relic/reviews?qs=pros-and-cons
- Source: https://newrelic.com/about
- Source: https://newrelic.com/pricing
- Source: https://docs.newrelic.com/docs/licenses/license-information/usage-plans/new-relic-usage-plan
- Source: https://newrelic.com/resources/datasheets/new-relic-pricing
- Source: https://docs.newrelic.com/docs/accounts/accounts-billing/new-relic-one-pricing-billing/new-relic-one-pricing-billing
- Source: https://newrelic.com/platform
- Source: https://newrelic.com/
- Source: https://www.softwareadvice.com/devops/new-relic-one-profile
- Source: https://www.capterra.com/compare/118128-144309/New-Relic-vs-Atera
- Source: https://www.capterra.com/p/118128/New-Relic

Use with attribution: "Source: Slate Index".