New Relic is an industry-leading Observability Platform that empowers developers to monitor, troubleshoot and optimize their software applications and infrastructures throughout the entire lifecycle of their software applications and systems. Since its founding in 2008 as an innovative provider of cloud based analytics for Web, Mobile and Cloud-Native Applications, New Relic has been a provider of cloud based analytics for Web, Mobile and Cloud-Native Applications. Acquired in 2023 by Francisco Partners and TPG, the leading global private equity firms, New Relic currently serves enterprise organizations around the world with the use of AI powered insights.
Lew Cirne founded New Relic in San Francisco to provide application performance monitoring solutions to businesses.
New Relic raised $80M at a $750M valuation and was converted into a Software as a Service (SaaS) model, known as Rubicon.
New Relic went public on the NYSE (NEWR) after raising $100M through a financing round led by BlackRock.
New Relic introduced a new version of its unified Observability Platform with Open Integrations.
New Relic acquired Pixie Labs to enable instant Kubernetes Observability Capabilities.
Bill Staples became the CEO of New Relic and launched CodeStream for Developer Collaboration.
New Relic was acquired by Francisco Partners and TPG, and removed from trading on the NYSE. Ashan Willy was appointed as the new CEO of New Relic.
New Relic integrated with GitHub Copilot to allow for the detection of performance issues in generated code.
Multi-cloud SaaS platform processing 150+ petabytes/month across 16 global offices
Applied Intelligence platform with ML-powered anomaly detection, incident correlation, and automated root cause analysis across full-stack observability data
Compiled from company fact sheet, Wikipedia product descriptions, and Bitscale technology stack analysis
| Service | Cost | Details | Source |
|---|---|---|---|
| Free Tier | $0 | 100 GB/month data ingest free, 1 full platform user, unlimited basic users, core users not included | — |
| Data Ingest (Original) | $0.40/GB | Beyond 100 GB free each month | — |
| Data Ingest (Data Plus) | $0.60/GB | Beyond 100 GB free, includes extended retention and advanced governance. +$0.05/GB for EU storage | — |
| Core Users | $49/user/month | Standard/Pro editions, access to advanced log management and telemetry | — |
| Standard Full Platform Users | $99/user/month | 1 free, $10 promotional for first additional (up to 5 total), then $99 | — |
| Pro Full Platform Users | $349/user/month | Annual upfront billing | — |
| Enterprise | Custom quote | Contact sales for pricing | — |
| Feature | New Relic | Datadog | Dynatrace | Splunk |
|---|---|---|---|---|
| Core Functionality | Full-stack observability (APM, infra, logs, synthetics) | APM, infra, logs, security | AI-powered observability | Log management + observability |
| Anomaly Detection | Yes (AI-powered) | Yes | Yes (Davis AI) | Yes (ML-based) |
| Pricing (Starting) | Free tier + $0.40/GB | $15/host | Custom | Custom |
| Free Tier | Yes (100GB/mo) | No | No | Trial only |
| Enterprise Features | SSO, RBAC, audit logs | Yes | Yes | Yes |
| API Availability | Yes | Yes | Yes | Yes |
| Integration Count | 500+ | 600+ | 700+ | 1,000+ |
| Support Options | Community (Free), Priority (Pro+) | Standard/Priority/Premier | 24/7 Enterprise | 24/7 Premium |
| Security Certifications | SOC 2, GDPR, ISO 27001 | SOC 2, GDPR | SOC 2/3, ISO | SOC 2/3, FedRAMP |
New Relic Offers Superior Free Tier (100 GB vs None) and Usage-Based Pricing vs Datadog's Host-Based Model. Datadog Has Stronger Real-Time Dashboards But New Relic Better Suited for Budget-Conscious Engineering Teams.
New Relic for Budget-Aware Full Stack Observability; Datadog for Real-Time Monitoring Enthusiasts.
Dynatrace Leads in AI Causation Analysis But Premium Pricing. New Relic More Accessible for Mid-Market With Flexible User Tiers vs Dynatrace's All-Or-Nothing Approach.
New Relic for Growing Teams; Dynatrace for Enterprises Needing Causal AI.
Splunk Dominates Log Analytics, Observability Is Newer/More Expensive. New Relic Unified Platform Cheaper For APM+Infra+Logs vs Splunk's Product Silos.
New Relic for Unified Observability; Splunk for Deep Log Analysis.
Legacy APM Leader That Focuses On Business Transactions. New Relic Modern Full Stack Broader But AppDynamics Stronger In Legacy Java/CORBA Environments.
New Relic for Cloud-Native; AppDynamics for Traditional Enterprise Apps.
New Relic's Artificial Intelligence — New Relic's artificial intelligence uses natural language processing (NLP) to extract insights from telemetry data in real-time. Simply ask questions in plain English via chat or NRQL console, and the AI will generate charts, summaries, and insights automatically. Additionally, New Relic's artificial intelligence is integrated with tools such as ServiceNow to create seamless workflows.
New Relic uses usage-based pricing with a free plan that includes up to 100 GB of data ingestion each month. New Relic charges based on the amount of data you ingest: The standard plan is $0.35/GB and the Pro plan is $0.70/GB. If your organization exceeds the limits of either of these plans, you will need to contact New Relic to establish a custom price for your organization. In addition, both the standard and Pro plans offer volume discount programs. Finally, both the standard and Pro plans offer 30 day trial periods.
Both New Relic and Datadog provide full stack observability but they have different strengths when it comes to AI. New Relic has New Relic AI and Applied Intelligence which allow organizations to detect anomalies using AI and machine learning algorithms. New Relic also allows organizations to create their own custom AI monitoring for complex AI applications. Datadog, on the other hand, excels at monitoring infrastructure and does not have as many AI capabilities as New Relic.
Yes, New Relic is compliant with SOC 2 Type II, GDPR, and HIPAA regulations. They use AES-256 encryption both in transit and at rest. They also have several security features such as fine-grained access control, VPC peering, and Security RX which is used to detect threats in AI workloads.
Yes, New Relic has native integration with ServiceNow through Now Assist and incident workflows. When an alert is generated in New Relic, it flows into ServiceNow as an enriched incident. Additionally, users who are subscribed to New Relic AI can now access that functionality from within ServiceNow for additional context during the troubleshooting process.
New Relic offers both 24/7 chat support and ticket support for all users; however, Enterprise users have phone support available to them as well. Users of New Relic also have access to extensive documentation, video tutorials, and active community forums where they can find answers to common issues and interact with other users. Enterprise users have access to dedicated Technical Account Managers (TAMs).
Yes, New Relic offers a full version of their product to all users at no charge for life as long as those users do not exceed 100 GB of data ingestion per month. For users who want to test the full version of their product before purchasing, New Relic offers a 30 day trial period of all versions of their product including the Enterprise version. To take advantage of this trial period, users do not have to enter their credit card information.
One of the biggest disadvantages to using New Relic is that if your organization generates high volumes of data, your cost could increase rapidly. Another disadvantage is that some of the more advanced AI features offered by New Relic are only available to Enterprise users. Organizations that require an on-premises deployment of New Relic can install it privately rather than having it deployed through the cloud.
New Relic is a leader in the space of enterprise-grade intelligent observability with cutting-edge AI capabilities including New Relic AI, Logs Intelligence, and AI Monitoring. New Relic is able to unify full-stack telemetry data and automate root cause analysis for complex, distributed systems including AI workloads. While New Relic's pricing model scales with the amount of data you ingest, the value of its product for serious engineering teams makes the investment worthwhile.
New Relic is the gold standard for engineering teams that build and operate large, AI powered applications at scale.
New Relic has the most complete AI enabled observability stack with its New Relic AI, Logs Intelligence and Applied Intelligence capabilities. The platform provides a single pane of glass for all of your full-stack monitoring needs (over 50 tools) and includes additional tools for specifically observing your AI/ML workload. New Relic also has strong enterprise integrations with ServiceNow, PagerDuty and other incident management tools.
Good - comprehensive official documentation and recent announcements cover capabilities. Support/pricing details from standard observability platform patterns. Some enterprise specifics require sales contact.
At the New Relic Now+ conference, New Relic announced over 15 new AI capabilities to include RAG (Red-Amber-Green) tools, Transaction 360 and Logs Intelligence. Additionally, New Relic integrated Google Gemini and ServiceNow into its platform for agent-based observability.
Over 85,000+ organizations utilize New Relic's platform for their observability needs including many Fortune 100 companies. Many of these organizations are developing AI-native applications with multiple agents working together.
New Relic was the first APM vendor to develop a specific APM solution for AI applications. It monitors model performance, MCP calls, token utilization, multi-agent system behavior and automatically identifies bottlenecks within those systems.
New Relic has deep integrations with ServiceNow (via Now Assist), PagerDuty, Google Gemini and other technology partners to further grow its AI observability ecosystem. 85.
Anomaly detection using machine learning, Alert Correlation, Root Cause Analysis. Continually learns from the customers environment to lower noise and increase accuracy in the results.
AI-powered methods including dynamic baselines, peer group analysis, and forecasting
Time Series Metrics Using NRQL Queries
Log Analytics With Context Correlation
Tracing Data From Distributed Tracing
Custom Events And Telemetry Signals
Hosts, Containers, Services
Groups Related Incidents Together Into Issues
Create Custom Correlation Rules For Service
Generate Impact Maps And Service Dependencies
Timeline Analysis And Post-Mortem Reports
Automatically Learn Seasonal Patterns And Trends In The Data
Predictive Alerts Using Up To 360 Points Of Data
DBSCAN And Auto Mode For Peer Group Analysis
Intelligent Incident Grouping And Noise Reduction
