The biggest difference between New Relic and Grafana Cloud isn't the feature list. It's how the two platforms are built. That architectural choice shapes everything from how you investigate incidents to how you pay for the platform.
Imagine three engineers responding to the same production issue. In New Relic, they can move from a slow trace to the related logs, infrastructure metrics, and application data without leaving the same interface because everything is stored in a single proprietary platform. In Grafana Cloud, the investigation often spans Tempo for traces, Loki for logs, and Mimir for metrics. Each service is designed for a specific type of telemetry, giving you more flexibility, but also requiring you to work across multiple backends and query languages.
Neither approach is inherently better. New Relic prioritizes a unified experience, making it easy to correlate telemetry without thinking about where the data lives. Grafana Cloud prioritizes openness and composability, letting you adopt, replace, or self-host individual components while remaining within the broader Grafana ecosystem.
Those architectural decisions also explain why the pricing models look so different. New Relic charges for platform access and data ingest, reflecting its all-in-one approach. Grafana Cloud meters each backend independently, charging for things like active metric series, log volume, traces, retention, and managed services. That can provide more flexibility, but it also means understanding costs across several products instead of one platform.
In this comparison, we'll focus on the areas where the two platforms compete directly, including architecture, APM, log management, infrastructure monitoring, AI capabilities, security, incident management, and pricing, while avoiding product areas that don't have meaningful equivalents on both sides. For example, Grafana Cloud's managed k6 performance testing doesn't have a direct counterpart in New Relic, so it isn't included in this comparison.
| Feature | New Relic | Grafana Cloud |
|---|---|---|
| Deployment model | SaaS only | Managed cloud, self-hosted (OSS), enterprise BYOC |
| Open source | No | Yes (Grafana, Loki, Mimir, Tempo all OSS) |
| Free tier | Yes (100GB/month + 1 full platform user, forever) | Yes (10K metrics, 50GB logs, 50GB traces/month) |
| Pricing model | Per-user + data ingest (GB) | Per-series + per-GB + per-host-hour (by product) |
| Starting paid price | $10 first user + $99/user (Standard) | $29/month (Pro plan, usage-based) |
| Custom metric surcharges | No | No |
| APM / distributed tracing | Yes (primary strength) | Yes (Tempo + Application Observability) |
| Log management | Yes (all logs searchable, $0.40/GB) | Yes (Loki, label-based indexing, $0.55/GB effective) |
| Infrastructure monitoring | Yes | Yes (Mimir, per-series) |
| Kubernetes monitoring | Yes | Yes (dedicated product, $7.20/host/month) |
| Real user monitoring | Yes (browser + mobile, Gartner Leader) | Yes (Frontend Observability, web only) |
| Session replay | Yes | Via third-party integration |
| Synthetic monitoring | Yes | Yes |
| Performance testing (load testing) | No | Yes (Grafana k6) |
| AI investigation | Yes (SRE Agent, Preview Feb 2026) | Grafana Assistant (GA Oct 2025) |
| MCP server | Yes (Preview, Agentic Platform) | Yes (GA, OAuth 2.1) |
| No-code AI agent builder | Yes (Agentic Platform, Preview) | No |
| Incident management | Built-in alerting + Applied Intelligence | Grafana IRM, $20/active user/month |
| On-call scheduling | Via integrations (PagerDuty/OpsGenie) | Built-in (Grafana IRM) |
| Status pages | No | No |
| Cloud SIEM | Limited (Security RX in preview) | No |
| Query language | NRQL (proprietary, unified) | LogQL, PromQL, TraceQL (per-signal) |
| Self-hosted option | No | Yes (full OSS stack) |
| SOC 2 Type II | Yes | Yes |
| HIPAA | Yes (Data Plus) | Yes (Enterprise) |
| FedRAMP | Yes (Moderate, expanding to High) | Yes (Federal Cloud, Enterprise) |
| Vendor lock-in risk | Moderate (NRQL, SaaS-only) | Low (open query languages, open backends) |
New Relic's backend is NRDB, a single store holding logs, metrics, traces, and events, queryable entirely through NRQL. Every product New Relic ships reads from the same database, which is why moving from a trace to its surrounding logs to the host's infrastructure metrics feels like staying in one place rather than navigating between tools. The pricing reflects that unity: you're not buying separate products, you're buying access to one platform, priced by how much data you send and how many people need full access to see it. A team of eight engineers who all need that access pays $2,792/month in seat fees on the Pro tier before a byte of telemetry counts against the bill.
Grafana Cloud takes the opposite bet. Loki handles logs, Mimir handles metrics, Tempo handles traces, and Grafana itself sits on top as the visualization and alerting layer. All four are open-source projects you could self-host tomorrow if you wanted to, and Grafana Alloy, the collection layer, is built directly on the OpenTelemetry Collector rather than a proprietary agent. The tradeoff for that openness is that LogQL, PromQL, and TraceQL are three different syntaxes for three different jobs, and correlating a slow trace with the logs and infrastructure state at that exact moment takes deliberate dashboard construction rather than the automatic stitching New Relic's single database gives you for free.
Here's the thing worth sitting with: a team that's already running self-hosted Prometheus and Grafana dashboards doesn't experience Grafana Cloud's three-query-language problem as a cost at all, because they already know PromQL and their dashboards already work. The friction is real, but it's front-loaded for teams new to the ecosystem and nearly invisible for teams already in it.
| Architectural factor | New Relic | Grafana Cloud |
|---|---|---|
| Data storage | NRDB (unified, proprietary) | Loki + Mimir + Tempo (open-source, separate) |
| Query language | NRQL (one language, all signals) | LogQL, PromQL, TraceQL (per-signal) |
| Data collection | APM agents, eBPF (eAPM), or OTel | Grafana Alloy (OTel Collector-based) |
| Self-hosted option | No | Yes (full OSS stack) |
| Cost pressure grows with | Engineer headcount needing full access | Series count, GB processed, host-hours |
| Vendor lock-in risk | Moderate (NRQL switching cost) | Low (open standards throughout) |
Both New Relic and Grafana Cloud are built for finding and explaining problems, not for getting a human on the phone about them or telling customers what's happening. Better Stack folds logs, metrics, traces, on-call scheduling, and status pages into one platform so that gap doesn't need a third vendor.
From heartbeat monitoring to incident timelines to status pages, one platform for the whole reliability lifecycle. Start free.
New Relic gives you two ways to instrument a service: traditional language-specific APM agents that provide method-level traces and thread profiling, or the eBPF-based eAPM agent for zero-code Kubernetes instrumentation. New Relic actually recommends running both for maximum depth, which means two systems to keep current if you want full coverage. What that buys you is thread-level CPU profiling, seeing exactly which function is burning cycles in production, which Grafana Cloud's Tempo-based tracing simply doesn't offer at that resolution. Infinite Tracing retains the most significant traces out of 100% of collected data rather than sampling blindly.
Tempo accepts any OTel-compatible trace data and supports TraceQL for sophisticated trace querying, and Application Observability sits on top providing pre-built service dashboards and RED metrics automatically derived from spans, no separate instrumentation required. What's genuinely notable here is the price: Application Observability runs roughly $18/host/month on Pro, against New Relic's APM costs folded into its data-ingest-plus-seat model, which tends to land higher for compute-heavy fleets. Pyroscope, included for continuous profiling, covers some of the ground New Relic's thread profiling occupies, though not with the same per-function precision. Grafana Beyla, an eBPF-based zero-code instrumentation tool Grafana Labs donated to the OpenTelemetry project in 2025, is available for teams that want automatic Kubernetes instrumentation without touching SDKs at all.
| APM / tracing | New Relic | Grafana Cloud |
|---|---|---|
| Instrumentation | APM agents or eBPF (eAPM), or OTel | OTel SDK or Alloy / Bela (eBPF) |
| OTel support | Yes (native, no surcharge) | Yes (first-class, no surcharge) |
| Code-level profiling | Yes (thread profiling via APM agents) | Via Pyroscope (coarser resolution) |
| Full trace retention | Yes (Infinite Tracing) | Configurable |
| Query language | NRQL | TraceQL |
| APM pricing | Included in data ingest + user license | ~$18/host/month (Application Observability) |
Both platforms fold APM into a broader pricing model, but you're still paying either by user seat or by host to use it. Better Stack's tracing is priced purely by data volume with no span indexing fees and no cardinality penalties, and the AI SRE activates automatically during incidents to investigate root cause before you have to ask.
Full-fidelity distributed tracing from every service, priced by volume with no surprises. Explore Better Stack tracing.
A hundred gigabytes a month, free, forever, then $0.40/GB after that with every log searchable and no separate indexing decision. That's the entirety of New Relic's logging pitch, and the simplicity is the point: one number, NRQL across everything, AI summarization on top.
Loki gets to a similar place, all ingested logs searchable, through a completely different mechanism: label-based indexing, where only metadata gets indexed rather than full log content. That's what keeps the effective rate down to roughly $0.55/GB at the Pro tier (combining process, write, and retention charges) and what makes Loki the backbone of so many large-scale logging deployments. Adaptive Logs can identify patterns your queries never touch and cut ingestion by up to 50%, a cost lever New Relic's flat per-GB rate doesn't offer. The honest tradeoff is LogQL itself, expressive but with a different learning curve than NRQL or plain SQL, and a 30-day default retention on Pro that's shorter than New Relic's seven years before rehydration becomes necessary.
Run the numbers and Grafana Cloud comes out ahead per gigabyte almost every time, $0.55 against $0.40 sounds backwards until you remember New Relic's first 100GB is free and Grafana Cloud's pricing starts accruing from byte one past a much smaller free tier. The crossover point depends entirely on your monthly volume, which is exactly the kind of thing worth modeling against your own numbers rather than trusting either vendor's headline rate.
| Log management | New Relic | Grafana Cloud |
|---|---|---|
| Billing model | $0.40/GB ingest (100GB/month free) | ~$0.55/GB effective (process + write + retain) |
| Indexing model | All logs searchable (no separate tier) | Label-based (metadata indexed, content searchable) |
| Query language | NRQL | LogQL |
| Cost reduction tools | None | Adaptive Logs (up to 50% reduction) |
| Default retention | Up to 7 years, no rehydration | 30 days (Pro), custom on Enterprise |
| Self-hosted escape valve | No | Yes (Loki OSS) |
Both New Relic and Grafana Cloud make their logs fully searchable, which is more than some competitors offer, but you're still paying per gigabyte or navigating a label-based query language to get there. Better Stack stores logs in a unified warehouse with SQL querying and no separate indexing layer. You pay for what you send, and all of it is searchable.
Unified log management with SQL search, live tail, and no indexing surprises. See how it works.
New Relic's infrastructure agent covers Linux, Windows, and macOS, with no-agent cloud integrations for AWS, Azure, and GCP. Raw metrics stick around for 30 days with 13 months of aggregated rollups, and cardinality doesn't create penalty charges since billing runs on ingest volume rather than unique series. The access model is the catch here, same as elsewhere in New Relic: viewing this data during an incident requires a full platform seat at $349/month, which means whoever's on call needs that access provisioned before the page comes in, not after.
Mimir bills at $6.50 per 1,000 active series a month, with full PromQL support meaning existing Prometheus recording rules and alert expressions work without modification. Adaptive Metrics can reduce billable series count by up to 80% through automatic aggregation of unused series, a cardinality control New Relic's ingest-based model doesn't really have an equivalent for. Kubernetes Monitoring ($7.20/host/month) and Database Observability ($51/database host/month) are separately priced products, which means you're not escaping the per-product compounding pattern entirely, just paying it at different rates than New Relic's seat model. What's missing is OS breadth: there's no real Windows or macOS agent story here the way New Relic has one.
The access model difference matters more than it sounds: Grafana Cloud's per-series pricing already covers everyone who needs to see the data, full stop, no seat math required.
| Infrastructure monitoring | New Relic | Grafana Cloud |
|---|---|---|
| Base pricing model | Data ingest + full platform user seats | Per-series ($6.50/1K series/month) |
| Cardinality penalties | No | No (Adaptive Metrics reduces further) |
| OS coverage | Linux, Windows, macOS | Linux, Kubernetes-first |
| Kubernetes monitoring | Included | Dedicated product ($7.20/host/month) |
| Access to view metrics | Full platform user required ($349/month) | All users (covered by series billing) |
| Self-hosted escape valve | No | Yes (Mimir + Prometheus OSS) |
Both platforms charge for infrastructure telemetry in ways tied to either user seats or active series count. Better Stack takes a different approach: no per-host fees, no cardinality penalties, and infra metrics that live alongside uptime monitors, on-call schedules, and incident timelines.
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New Relic Browser Monitoring has the edge here, and the gap is concrete rather than marginal: native mobile RUM across iOS, Android, React Native, and Flutter, plus a second consecutive year as a Leader in the Gartner Magic Quadrant for Digital Experience Monitoring. APM 360 connects frontend sessions to backend traces. Grafana Cloud's Frontend Observability ($0.75/1,000 sessions/month) covers Core Web Vitals, JavaScript errors, and user journey analytics on the web side, integrating with Application Observability for backend correlation, but it has no mobile RUM at all and session replay requires a third-party integration rather than being native.
What Grafana Cloud does have that New Relic doesn't: k6, first-party load testing integrated with the same observability stack you're already using, at $0.15 per virtual-user-hour past a 500-hour free allotment. If your team is testing performance and watching production telemetry in the same place, that's a real and somewhat overlooked advantage.
| Digital experience | New Relic | Grafana Cloud |
|---|---|---|
| Browser RUM | Yes | Yes (Frontend Observability) |
| Mobile RUM | Yes (iOS, Android, React Native, Flutter) | No |
| Session replay | Yes | Via third-party integration |
| Performance/load testing | No | Yes (k6, included) |
| Gartner DEM recognition | Leader, 2025 MQ (2x consecutive) | Not named |
| Access to DEM data | Full platform user required | All users |
New Relic's SRE Agent, launched February 2026, runs full-stack diagnostics during incidents using Intelligent Root Cause Analysis against an entity topology graph. The Agentic Platform around it is genuinely ambitious: a no-code agent builder, orchestration layer, RBAC and governance, MCP support, none of which has a real equivalent on the Grafana side. New Relic NOW in June 2026 added AI Observability for LLM monitoring and Preflight for catching issues in AI-generated code. The caveat that matters: most of this, including the SRE Agent itself, remains labeled Preview.
Grafana Assistant reached GA in October 2025, a full six months before New Relic's SRE Agent even launched in Preview. It operates inside the Grafana UI with deep configuration context: it knows your dashboard structure, your data sources, your actual metric names. Ask it to build a dashboard and it queries the Prometheus API to enumerate real metrics rather than guessing at names. Grafana also ships a Cloud MCP server available to all users via OAuth 2.1, plus a dedicated Traces MCP server for direct TraceQL access, both fully GA rather than Preview. The tradeoff for that GA status is scope: Grafana Assistant isn't trying to be a no-code agent builder or an orchestration platform, it's a context-aware assistant, and it costs $20/active AI user/month on top of everything else.
So the actual choice is between New Relic's bigger, riskier bet (an ambitious platform that's mostly not production-stable yet) and Grafana Cloud's smaller, safer one (a genuinely useful assistant that's been GA for months, doing less but doing it reliably).
| AI capability | New Relic | Grafana Cloud |
|---|---|---|
| Autonomous investigation | Yes (SRE Agent, Preview Feb 2026) | Grafana Assistant Investigations |
| No-code AI agent builder | Yes (Agentic Platform, Preview) | No |
| MCP server | Yes (Preview, Agentic Platform) | Yes (GA, OAuth 2.1) |
| GA status of flagship AI feature | Preview | GA (Oct 2025) |
| AI pricing | Included (where GA) | $20/active AI user/month |
Both platforms have invested heavily in AI investigation, one further along than the other. What neither one includes is a direct path from a root cause hypothesis to an on-call notification and a customer-facing status page update. Better Stack's AI SRE connects to the full incident lifecycle so the investigation and the response happen in the same place.
Autonomous root cause investigation connected to on-call, incidents, and status pages. See the AI SRE.
$100 a month for five responders on Grafana Cloud IRM, versus New Relic's seat-based alerting that still needs an external tool bolted on for the actual paging. That comparison sounds like it settles things, until you look at what's actually included for that $100. Grafana Cloud IRM (the March 2025 merger of OnCall and Incident) handles on-call scheduling, escalation policies, and incident workflows, but phone and SMS delivery runs through the mobile app and integration partners rather than being an unlimited included feature.
New Relic's Applied Intelligence groups related alerts and generates AI summaries before you've finished opening a dashboard, and SLO tracking handles error budgets. On-call scheduling and phone delivery, though, require PagerDuty or OpsGenie entirely, adding $245 to $415 a month for a five-person rotation on top of whatever New Relic already costs.
So neither $100 nor "seat-based plus a paging tool" is the real number. Both end up needing a third-party phone delivery layer in practice, just at different points in the stack.
| Incident management | New Relic | Grafana Cloud IRM |
|---|---|---|
| Pricing | Seat-based + Applied Intelligence | $20/active IRM user/month |
| On-call scheduling | Via Datadog On-Call equivalent or external | Built-in |
| Phone/SMS delivery | External (PagerDuty/OpsGenie) | Via mobile app + integration partners |
| AI alert summarization | Yes (Applied Intelligence) | Yes (Grafana Assistant) |
| Observability integration | Same platform (NRDB) | Deep Grafana integration |
| Status pages | No | No |
Neither platform is trying to be a security product first, and the gap between them here is mostly about deployment flexibility rather than detection capability. New Relic's posture leans on certifications: SOC 2, HIPAA on Data Plus, FedRAMP Moderate with a stated push toward FedRAMP High and DoD Impact Level 4. Security RX, previewed in 2026, correlates vulnerability findings with engineering context but isn't a SIEM.
Grafana Cloud has no security product at all, no SIEM, no threat detection. What it has instead, and this is where the open-source bet pays off most clearly, is genuine deployment flexibility: Enterprise customers can run BYOC in their own AWS, GCP, or Azure account, or self-host the entire LGTM stack with zero data leaving their network. That's a structural option New Relic simply doesn't offer at any tier.
| Security and compliance | New Relic | Grafana Cloud |
|---|---|---|
| Cloud SIEM | Limited (Security RX in preview) | No |
| SOC 2 Type II | Yes | Yes |
| HIPAA | Yes (Data Plus) | Yes (Enterprise) |
| FedRAMP | Yes (Moderate, expanding to High) | Yes (Federal Cloud, Enterprise) |
| Data residency (self-hosted) | No | Yes (BYOC Enterprise, full OSS) |
| Air-gapped deployment | No | Yes (self-hosted OSS) |
For an org running 100 hosts, 1TB of logs a month, and 50,000 active metric series, here's roughly where the two platforms land: New Relic's infrastructure, APM, and log charges together run somewhere in the $8,200 to $12,000+ a month range, while Grafana Cloud's per-series metrics, Application Observability, and effective log rate land closer to $3,500 a month before incident management. That gap, often 40 to 60% in Grafana Cloud's favor at scale, is the headline most comparisons lead with.
What that headline number hides is the seat dimension. New Relic's seat-based model means the gap narrows or even reverses for a team with few engineers and heavy data volume, since you're not paying per-person, you're paying per-byte and per-feature. Run eight engineers needing full platform access and the seat fees alone hit $2,792 a month before any of the usage numbers above even apply.
Scenario: 100 hosts, 1TB logs/month, 50K active metric series, 8 engineers needing full access
| Cost component | New Relic (Pro, annual) | Grafana Cloud (Pro) |
|---|---|---|
| Full platform user licenses | $2,792/month (8 x $349) | Not applicable |
| Infrastructure monitoring | Included in ingest | $325/month (50K series) |
| APM | Included in ingest | $1,800/month (Application Observability) |
| Log management (1TB) | ~$400/month ($0.40/GB) | ~$550/month effective |
| Kubernetes Monitoring | Included | $720/month |
| Estimated monthly total | ~$3,200-3,600/month + seats | ~$3,395/month |
This is a simplified scenario, and both platforms' Adaptive Telemetry tools (New Relic doesn't have an equivalent for Grafana Cloud's Adaptive Metrics/Logs) can shift the real number meaningfully. The honest takeaway: New Relic's per-seat model and Grafana Cloud's per-product model produce genuinely different cost curves depending on your engineer-to-data ratio, and modeling your own numbers matters more here than trusting either vendor's published rate card.
| Pricing factor | New Relic | Grafana Cloud |
|---|---|---|
| Free tier | Yes (100GB + 1 full user, forever) | Yes (10K metrics, 50GB logs, 50GB traces) |
| Per-user fee | Yes (full platform $349/month) | No |
| Per-series fee | No | Yes ($6.50/1K series) |
| Cardinality cost reduction | None | Adaptive Metrics (up to 80% reduction) |
| Self-hosted escape valve | No | Yes (full OSS stack) |
| Enterprise minimum | Custom | $25,000/year commitment |
Both New Relic and Grafana Cloud require separate tools for status pages and unlimited phone-based on-call. Better Stack consolidates logs, metrics, traces, on-call scheduling, incident management, and status pages into one platform with one bill.
Fewer vendors, fewer context switches, and a single place for the full reliability workflow. Talk to us.
New Relic gaps worth knowing:
Grafana Cloud gaps worth knowing:
By this point, the choice between New Relic and Grafana Cloud should feel less like picking a winner and more like deciding how you want your observability stack to evolve over the next few years.
New Relic is built around the idea that observability should feel like a single product. You get one platform for collecting, storing, and analyzing telemetry, which makes investigations fast and keeps operational overhead low. If your team values a polished experience, broad platform coverage, and doesn't want to spend time managing observability infrastructure, New Relic is the more complete solution.
Grafana Cloud takes the opposite view. Instead of hiding the underlying components, it embraces them. Metrics, logs, and traces each have their own backend, and everything is built on open-source technologies and open standards. That gives you more flexibility to customize, replace, or even self-host parts of your stack, but it also means accepting more architectural complexity.
Neither approach is inherently better. The right choice depends on what your team optimizes for. If reducing operational complexity is the priority, New Relic is likely to be the better fit. If avoiding vendor lock-in and building around an open ecosystem matter more, Grafana Cloud has a compelling advantage.
One final point is worth keeping in mind. Don't assume one platform is automatically cheaper than the other. Depending on your engineering team, telemetry volume, and retention requirements, either platform can come out ahead. Before committing, estimate your costs using your own workloads rather than relying on pricing examples or marketing calculators. That exercise is often more valuable than comparing another page of features.
Neither New Relic nor Grafana Cloud includes uptime monitoring, on-call scheduling with phone and SMS, incident management, and customer-facing status pages as a unified product. Better Stack brings all of that together with logs, metrics, and traces, with usage-based pricing and no per-seat fees.
The full reliability lifecycle in one place. Start free, no credit card required. Try Better Stack.
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