New Relic vs Grafana
Detailed comparison of New Relic and Grafana to help you choose the right monitoring tool in 2026.
Reviewed by the AI Tools Hub editorial team · Last updated February 2026
New Relic
Full-stack observability platform
New Relic offers the most generous free tier in observability (100GB/month, full platform access) with a unified query language that works across all telemetry types, making full-stack observability accessible without upfront commitment.
Grafana
Open-source analytics and visualization
Grafana is the only truly open-source, data-source-agnostic visualization platform that lets you build unified monitoring dashboards across any combination of metrics, logs, and traces backends without vendor lock-in.
Overview
New Relic
New Relic is a full-stack observability platform that provides monitoring across applications, infrastructure, logs, browsers, mobile apps, and serverless functions. Founded in 2008 by Lew Cirne — who previously founded Wily Technology (acquired by CA Technologies for $375 million) — New Relic was one of the earliest SaaS-based application performance monitoring (APM) tools. The company went public in 2014 and was taken private by Francisco Partners and TPG in 2023 for $6.5 billion. With over 16,000 customers including major enterprises, New Relic has reinvented itself from a traditional APM vendor into a comprehensive observability platform with a disruptive usage-based pricing model.
APM and Distributed Tracing
New Relic APM provides deep visibility into application performance across Java, .NET, Node.js, Python, Ruby, Go, and PHP. It automatically instruments popular frameworks, tracking response times, throughput, error rates, and database query performance. Distributed tracing follows requests across microservices boundaries, visualizing the full journey of a request through your architecture. The "Errors Inbox" centralizes errors from all your services into a single triage workflow, grouping similar errors and tracking their lifecycle from detection to resolution. CodeStream integration brings observability data directly into IDEs like VS Code and JetBrains, letting developers see production telemetry alongside their code.
Infrastructure and Kubernetes Monitoring
New Relic Infrastructure monitors hosts, containers, and cloud services with an agent that collects system metrics and integrates with over 500 technologies. Kubernetes cluster monitoring provides pre-built dashboards showing pod health, resource utilization, and cluster events. The Kubernetes cluster explorer visualizes namespaces, deployments, and pods in an interactive interface that makes it easy to spot resource-starved containers or failing pods. Cloud integrations pull metrics directly from AWS CloudWatch, Azure Monitor, and Google Cloud Monitoring without requiring agents on every resource.
Log Management and NRQL
New Relic's log management platform ingests logs and correlates them with traces and infrastructure metrics using "logs in context." When you view a distributed trace, you see the logs generated during that specific transaction, eliminating manual log searching. NRQL (New Relic Query Language) is a SQL-like query language that works across all telemetry types — metrics, events, logs, and traces. NRQL powers custom dashboards, alerts, and data exploration, and its familiar SQL-like syntax makes it accessible to anyone who has written a database query. This unified query language across all data types is one of New Relic's strongest differentiators.
Browser and Mobile Monitoring
New Relic Browser monitors real user experience in web applications, capturing page load times, JavaScript errors, AJAX call performance, and Core Web Vitals (LCP, FID, CLS). Session traces replay user interactions leading to errors. New Relic Mobile extends this to iOS and Android apps, tracking crashes, HTTP errors, network failures, and app launch times. Both feed into the same platform, so you can trace a user experience issue from the browser through your API gateway to the backend database query that caused the slowdown.
Pricing: The Usage-Based Model
New Relic disrupted the monitoring market in 2020 by switching to pure usage-based pricing. The free tier is genuinely useful: one full-access user, 100GB of data ingest per month, and access to the entire platform with no feature restrictions. Paid plans charge per GB of data ingested ($0.30- 0.50/GB depending on commitment) plus per full-platform user ($49-99/month). This model eliminated the per-host pricing that made competitors expensive for large fleets, but it requires careful management of data ingest volume to keep costs predictable. Teams with high-cardinality metrics or verbose logging can see ingest costs climb unexpectedly.
Grafana
Grafana is an open-source analytics and interactive visualization platform that has become the de facto standard for monitoring dashboards in the DevOps and infrastructure world. Founded in 2014 by Torkel Odegaard as a fork of Kibana, Grafana Labs (the commercial company behind Grafana) has raised over $450 million in funding and serves organizations ranging from individual developers to enterprises like Bloomberg, PayPal, and JPMorgan. Unlike proprietary monitoring tools that lock you into their data storage, Grafana is data-source agnostic — it connects to over 150 data sources and lets you build unified dashboards regardless of where your metrics, logs, and traces live.
Data Source Flexibility
Grafana's core architectural principle is separation of visualization from storage. It natively supports Prometheus, InfluxDB, Elasticsearch, PostgreSQL, MySQL, Loki (logs), Tempo (traces), Mimir (metrics), CloudWatch, Azure Monitor, Google Cloud Monitoring, and dozens more. This means you can build a single dashboard that pulls CPU metrics from Prometheus, business KPIs from PostgreSQL, and cloud costs from CloudWatch — something proprietary tools cannot do without data migration. Mixed-source panels let you overlay data from different backends on the same graph, enabling correlations that would otherwise require switching between tools.
Dashboard Building and Visualization
Grafana's dashboard editor supports a wide range of visualization types: time series graphs, heatmaps, gauges, bar charts, stat panels, tables, geo maps, candlestick charts, and more. Template variables let you create reusable dashboards that filter by environment, region, or service with dropdown selectors. Dashboard annotations overlay events (deployments, incidents) on time series graphs, providing visual correlation between changes and metric shifts. The community has contributed thousands of pre-built dashboards on grafana.com/dashboards, covering everything from Kubernetes monitoring to home automation sensor data.
Grafana Stack: Loki, Tempo, and Mimir
Grafana Labs has built a complete open-source observability stack around Grafana. Loki is a log aggregation system inspired by Prometheus that indexes metadata rather than full log content, making it significantly cheaper to operate than Elasticsearch at scale. Tempo is a distributed tracing backend that stores traces at massive scale with minimal dependencies. Mimir is a horizontally scalable, long-term metrics storage backend for Prometheus. Together, these form the "LGTM stack" (Loki, Grafana, Tempo, Mimir) — a fully open-source alternative to commercial observability platforms like Datadog, with no vendor lock-in and full control over data storage.
Alerting and Incident Management
Grafana Alerting (unified since Grafana 9) supports multi-dimensional alert rules that evaluate queries across any connected data source. Alerts can route to Slack, PagerDuty, OpsGenie, email, webhooks, and other notification channels with configurable routing trees based on labels. Grafana OnCall (also open-source) adds on-call scheduling, escalation policies, and incident management directly within Grafana, reducing the need for separate incident management tools.
Grafana Cloud: Managed Offering
Grafana Cloud provides a fully managed version of the Grafana stack with a free tier that includes 10,000 metrics series, 50GB logs, 50GB traces, 500 VUh (Virtual User hours) for load testing, and 3 active users. Paid plans start at $29/month (Pro) and scale based on usage. Grafana Cloud handles upgrades, scaling, and storage, while maintaining compatibility with the open-source self-hosted version. For organizations that want the Grafana ecosystem without the operational overhead of running Prometheus, Loki, and Tempo, Grafana Cloud is an attractive middle ground between fully self-managed and proprietary SaaS.
Pros & Cons
New Relic
Pros
- ✓ Generous free tier with 100GB/month data ingest and full platform access — no feature gating like competitors
- ✓ Unified query language (NRQL) works across metrics, traces, logs, and events, enabling powerful cross-telemetry analysis
- ✓ Usage-based pricing eliminates per-host costs, making it more economical for large dynamic infrastructure
- ✓ CodeStream IDE integration brings production observability data directly into VS Code and JetBrains during development
- ✓ Over 500 integrations and pre-built quickstart dashboards accelerate time to value for common technology stacks
- ✓ Logs in context automatically correlates log entries with distributed traces, eliminating manual log searching
Cons
- ✗ Data ingest costs can be unpredictable — high-cardinality metrics and verbose logging drive up bills quickly
- ✗ The platform underwent a major rewrite (New Relic One) and some older documentation references the legacy UI, causing confusion
- ✗ Per-user pricing for full platform access ($49-99/user/month) adds up for larger engineering teams
- ✗ Alert configuration is powerful but complex — setting up meaningful alerts with NRQL conditions has a steeper learning curve than threshold-based systems
- ✗ Customer support response times have been inconsistent, particularly for non-enterprise tier customers
Grafana
Pros
- ✓ Truly open-source with no feature gating — the self-hosted version is fully functional without license restrictions
- ✓ Data-source agnostic with 150+ connectors, enabling unified dashboards across Prometheus, SQL databases, cloud providers, and more
- ✓ The LGTM stack (Loki, Grafana, Tempo, Mimir) provides a complete open-source observability platform with no vendor lock-in
- ✓ Massive community with thousands of pre-built dashboards and plugins shared on the Grafana marketplace
- ✓ Grafana Cloud's free tier is generous enough for small teams and personal projects to run production monitoring
- ✓ Highly customizable with plugins, panel types, and theming — dashboards can be tailored to any use case from DevOps to business analytics
Cons
- ✗ Self-hosting the full LGTM stack requires significant operational expertise — Prometheus, Loki, and Mimir each have their own complexity
- ✗ Grafana is a visualization layer, not a data platform — you still need to choose, deploy, and manage your data sources separately
- ✗ The dashboard editor has a learning curve: building effective dashboards with PromQL or LogQL requires understanding query languages
- ✗ Alerting was rebuilt in Grafana 9 and still has rough edges compared to dedicated alerting tools like PagerDuty
- ✗ Out-of-the-box experience is minimal — unlike Datadog, Grafana does not auto-discover services or provide turnkey dashboards without setup
Feature Comparison
| Feature | New Relic | Grafana |
|---|---|---|
| APM | ✓ | — |
| Infrastructure | ✓ | — |
| Logs | ✓ | — |
| Browser Monitoring | ✓ | — |
| Dashboards | ✓ | ✓ |
| Alerting | — | ✓ |
| Data Sources | — | ✓ |
| Plugins | — | ✓ |
| Loki Logs | — | ✓ |
Integration Comparison
New Relic Integrations
Grafana Integrations
Pricing Comparison
New Relic
Free / Pay-as-you-go
Grafana
Free (OSS) / $29/mo Cloud
Use Case Recommendations
Best uses for New Relic
Enterprise Application Performance Management
Large engineering organizations use New Relic APM to monitor hundreds of services across Java, .NET, and Node.js stacks. Distributed tracing identifies bottlenecks across service boundaries, and service maps visualize dependencies. SLI/SLO tracking provides objective measures of reliability.
Kubernetes and Cloud-Native Observability
Platform teams use New Relic's Kubernetes integration to monitor cluster health, pod resource utilization, and deployment rollouts. The cluster explorer provides visual troubleshooting, and Pixie integration enables eBPF-based observability without code changes for deep container visibility.
Frontend Performance Optimization
Web development teams use Browser monitoring to track Core Web Vitals across real user sessions. They identify JavaScript errors affecting conversion rates, slow AJAX calls degrading user experience, and third-party scripts adding page weight. Session traces help reproduce user-reported issues.
Full-Stack Incident Investigation
SRE teams use New Relic as their single source of truth during incidents. NRQL queries correlate infrastructure metrics with application traces and logs to identify root cause. Workloads group related entities so teams can assess the blast radius of an outage across all affected services and dependencies.
Best uses for Grafana
Infrastructure and Kubernetes Monitoring with Prometheus
Platform engineering teams deploy Prometheus to scrape metrics from Kubernetes clusters and use Grafana to visualize cluster health, pod resource utilization, and application performance. Pre-built community dashboards for Kubernetes provide instant visibility, and custom dashboards track team-specific SLIs and SLOs.
Multi-Cloud Unified Observability
Organizations running workloads across AWS, Azure, and GCP use Grafana to create unified dashboards that pull metrics from CloudWatch, Azure Monitor, and Google Cloud Monitoring simultaneously. This eliminates the need to switch between cloud provider consoles and provides a single view of multi-cloud infrastructure.
Business Metrics and KPI Dashboards
Product and business teams connect Grafana to PostgreSQL or MySQL databases to build real-time dashboards tracking revenue, user signups, conversion rates, and other business KPIs. Grafana serves as a free alternative to Looker or Tableau for teams that need live dashboards without the cost of BI tools.
IoT and Home Lab Monitoring
Hobbyists and IoT engineers use Grafana with InfluxDB or Prometheus to monitor sensor data from home automation systems, weather stations, solar panels, and network equipment. The active open-source community has created plugins and dashboards for virtually every home monitoring scenario.
Learning Curve
New Relic
Moderate. The New Relic One UI is well-organized, and pre-built dashboards provide immediate value for common stacks. However, getting the most out of the platform requires learning NRQL for custom queries, understanding the data ingest model to control costs, and configuring alert policies with NRQL conditions. Teams familiar with SQL will find NRQL intuitive. The biggest adjustment is shifting from per-host thinking to usage-based thinking, which requires new habits around data governance and ingest optimization.
Grafana
Moderate to steep. Installing Grafana and connecting a data source takes minutes, and importing community dashboards provides instant value. However, building custom dashboards requires learning the query language of your data source (PromQL for Prometheus, LogQL for Loki, SQL for databases), understanding panel configuration options, and mastering template variables. Self-hosting the full LGTM stack adds significant operational complexity. Most teams need 2-4 weeks to become productive with custom dashboards and alerting.
FAQ
How does New Relic's pricing compare to Datadog?
New Relic charges per GB of data ingested plus per user, while Datadog charges per host plus per product. For large fleets with many hosts, New Relic is often cheaper because there is no per-host cost. For teams with high data volumes but few hosts, Datadog may be more economical. New Relic's free tier (100GB/month, 1 user) is significantly more generous than Datadog's (5 hosts, 1-day retention). The right choice depends on your specific infrastructure size and data volume.
What is NRQL, and do I need to learn it?
NRQL (New Relic Query Language) is a SQL-like language for querying all your telemetry data. Basic queries look like 'SELECT average(duration) FROM Transaction WHERE appName = 'MyApp' SINCE 1 hour ago'. You can use the platform without NRQL through pre-built dashboards, but custom dashboards, advanced alerts, and deep analysis all require NRQL. If you know SQL, NRQL takes a few hours to learn. It is one of New Relic's strongest features once mastered.
Is Grafana free to use in production?
Yes. Grafana OSS (open-source) is completely free with no usage limits, user limits, or feature restrictions. You can self-host it for production monitoring at any scale. Grafana Cloud also offers a free tier with 10,000 metrics series and 50GB logs per month. The only cost for self-hosting is the infrastructure to run Grafana and your chosen data sources (Prometheus, Loki, etc.).
How does Grafana compare to Datadog?
Grafana is open-source and data-source agnostic — you bring your own data backends. Datadog is a proprietary, fully managed SaaS with integrated data storage. Grafana is significantly cheaper (free for self-hosted) but requires more operational effort. Datadog provides a turnkey experience with auto-discovery, 750+ integrations, and bundled storage. Choose Grafana for cost control and flexibility; choose Datadog for convenience and less operational overhead.
Which is cheaper, New Relic or Grafana?
New Relic starts at Free / Pay-as-you-go, while Grafana starts at Free (OSS) / $29/mo Cloud. Consider which pricing model aligns better with your team size and usage patterns — per-seat pricing adds up differently than flat-rate plans.