Decision comparison
Splunk vs New Relic
Splunk and New Relic are both powerful observability platforms, but they serve fundamentally different organizational needs. Splunk dominates in enterprise security with its unified SIEM capabilities and massive-scale log analytics, while New Relic delivers a more accessible, developer-friendly full-stack observability experience with transparent usage-based pricing and a generous free tier.
Direct comparison. These are reviewed substitutes bought for the same job, so the differences below are the ones that decide between them.
These are different kinds of product — Log Management and Observability Platform.
Quick Comparison
| Decision factor | Splunk | New Relic |
|---|---|---|
| Best For | Enterprise security teams and large organizations needing unified SIEM and observability at massive scale | Development and SRE teams wanting a SaaS-native full-stack observability platform with transparent pricing |
| Architecture | On-premises or cloud deployment with SmartStore architecture for independent compute and storage scaling | Fully managed SaaS platform with AI-powered Intelligent Observability and 780+ quickstart integrations |
| Pricing Model | Splunk Free is a perpetual no-cost licence for a single self-hosted instance, capped at 500 MB of daily indexing and without alerting. Splunk Enterprise and Splunk Cloud use workload, ingest, or entity-based pricing that Splunk does not publish. | Free tier available, paid plans start at $19/mo per host, additional costs based on usage and features |
| Ease of Use | Steep learning curve with powerful SPL query language; requires dedicated training for effective use | Moderate learning curve with NRQL query language; pre-built dashboards and 780+ quickstart integrations ease onboarding |
| Scalability | Enterprise-grade scaling with SmartStore; processes 8M traces and 50M spans; supports 2,000+ integrations | Cloud-native SaaS with unlimited data ingest; 50+ capabilities in a single unified platform experience |
| Community/Support | 542 reviews at 8.6/10 rating; named leader in both SIEM and observability by global analyst firms | 353 reviews at 7.9/10 rating; named Leader in 2025 Gartner Magic Quadrant for Observability Platforms |
Splunk
- Best For:
- Enterprise security teams and large organizations needing unified SIEM and observability at massive scale
- Architecture:
- On-premises or cloud deployment with SmartStore architecture for independent compute and storage scaling
- Pricing Model:
- Splunk Free is a perpetual no-cost licence for a single self-hosted instance, capped at 500 MB of daily indexing and without alerting. Splunk Enterprise and Splunk Cloud use workload, ingest, or entity-based pricing that Splunk does not publish.
- Ease of Use:
- Steep learning curve with powerful SPL query language; requires dedicated training for effective use
- Scalability:
- Enterprise-grade scaling with SmartStore; processes 8M traces and 50M spans; supports 2,000+ integrations
- Community/Support:
- 542 reviews at 8.6/10 rating; named leader in both SIEM and observability by global analyst firms
New Relic
- Best For:
- Development and SRE teams wanting a SaaS-native full-stack observability platform with transparent pricing
- Architecture:
- Fully managed SaaS platform with AI-powered Intelligent Observability and 780+ quickstart integrations
- Pricing Model:
- Free tier available, paid plans start at $19/mo per host, additional costs based on usage and features
- Ease of Use:
- Moderate learning curve with NRQL query language; pre-built dashboards and 780+ quickstart integrations ease onboarding
- Scalability:
- Cloud-native SaaS with unlimited data ingest; 50+ capabilities in a single unified platform experience
- Community/Support:
- 353 reviews at 7.9/10 rating; named Leader in 2025 Gartner Magic Quadrant for Observability Platforms
Public signals
Verified factual signals only. Bars appear only for like-for-like metrics with five weekly assessments for every tool; missing evidence stays explicit. These signals do not establish enterprise adoption, product quality, or total cost.
| Metric | Splunk | New Relic |
|---|---|---|
| Docker Hub pulls(Product adoption) | 93.3M | Not available |
| GitHub commits, 90d(Developer adoption) | 9 | 352 |
| GitHub stars(Developer adoption) | 743 | 10 |
| Search interest(Market interest) | 15 | 4 |
| Hacker News mentions, 90d(Community interest) | 1 | 1 |
| npm weekly downloads(Developer adoption) | 27.3k | 847.6k |
| Product Hunt comments(Community interest) | 0 | 1 |
| Product Hunt reviews(Community interest) | 0 | 0 |
| Product Hunt votes(Community interest) | 67 | 16 |
| PyPI weekly downloads(Developer adoption) | 318.5k | 929.1k |
| Stack Overflow questions(Community interest) | 2.3k | 1.5k |
As of September 21, 2026 — updated weekly.
Health & risk evidence
Observed public-source checks for mapped package versions and repositories.
Splunk
September 21, 2026Package vulnerabilities
npm · splunk-logging@0.11.1 · PyPI · splunk-sdk@3.0.1
0 vulnerabilities
across 2 packages
Repository security score
github.com/splunk/splunk-sdk-python
6.9/10
New Relic
September 21, 2026Package vulnerabilities
npm · newrelic@14.5.0 · PyPI · newrelic@13.5.0
0 vulnerabilities
across 2 packages
Repository security score
Not available
Interface Preview
Splunk
Feature Comparison
| Feature | Splunk | New Relic |
|---|---|---|
| Application Performance Monitoring | ||
| APM & Distributed Tracing | Full APM with distributed tracing across any environment and stack, including AI infrastructure monitoring | APM 360 with auto-generated service maps, distributed tracing, and code-level diagnostics for cloud and hybrid |
| AI & Agentic Monitoring | Native agentic, GenAI, and ML capabilities for uncovering insights with natural language and automating workflows | Dedicated AI and Agentic Monitoring to manage AI agents, scale AI safely, and control AI costs automatically |
| Code-Level Profiling | Code-level visibility through APM with real-time troubleshooting from third-party APIs down to the code level | Low-impact code profiling in production to identify performance bottlenecks with CodeStream IDE integration |
| Infrastructure & Cloud Monitoring | ||
| Infrastructure Monitoring | Monitor and troubleshoot across any environment, stack, and network with business-impact-based issue prioritization | Full hybrid visibility across cloud-native and Kubernetes environments with infrastructure health tied to applications |
| Kubernetes & Container Monitoring | Container monitoring through Splunk Observability Cloud with OpenTelemetry-based data collection | Dedicated Kubernetes monitoring with code-level insights into clusters and automatic resource scaling |
| Cloud Provider Integration | 2,000+ integrations via Splunkbase; seamlessly ingests logs, metrics, traces from any source or format | 780+ quickstart integrations with dedicated monitoring for AWS, Azure, and GCP environments |
| Log Management & Analytics | ||
| Log Collection & Analysis | Core platform capability; captures, indexes, and correlates real-time data in a searchable repository at massive scale | Logs in Context with instant data search; query data in place to scale logging strategy cost-effectively |
| Query Language | SPL (Search Processing Language) for searching and analyzing machine-generated big data across all indexed data | NRQL (New Relic Query Language) for querying telemetry data across the entire observability stack |
| Custom Dashboards & Visualization | Highly customizable dashboards with Dashboard Studio, AR visualization, mobile access, and TV displays | Customizable dashboards with pre-built templates and 780+ integration-specific quickstart dashboards |
| Security & Compliance | ||
| SIEM & Threat Detection | Unified threat detection, investigation, and response with behavioral analytics, ML-based risk scoring, and APT defense | Unified vulnerability management with production-impact prioritization and AI-guided remediation |
| Compliance Monitoring | Automated compliance monitoring and audit streamlining for PCI, HIPAA, GDPR with real-time security visibility | FedRAMP Moderate and HIPAA eligibility available with Data Plus tier; enterprise-grade security governance |
| Fraud Detection | Specialized fraud detection and response with reporting, visualizations, and collaborative investigation workflows | Not available as a dedicated capability |
| User Experience & Digital Monitoring | ||
| Digital Experience Monitoring | Application performance monitoring with business KPI impact analysis and SAP system optimization | AI-powered session replay and UX flaw detection; pinpoints friction points before they impact conversions |
| Mobile Monitoring | Splunk Mobile app for viewing dashboards and receiving alerts on mobile devices for on-the-go monitoring | Proactive mobile app crash, error, and latency monitoring with dedicated mobile monitoring product |
| Synthetic Monitoring | Not available as a standalone product within the core platform | Simulate global traffic to proactively identify and fix issues before real users are affected |
Application Performance Monitoring
APM & Distributed Tracing
AI & Agentic Monitoring
Code-Level Profiling
Infrastructure & Cloud Monitoring
Infrastructure Monitoring
Kubernetes & Container Monitoring
Cloud Provider Integration
Log Management & Analytics
Log Collection & Analysis
Query Language
Custom Dashboards & Visualization
Security & Compliance
SIEM & Threat Detection
Compliance Monitoring
Fraud Detection
User Experience & Digital Monitoring
Digital Experience Monitoring
Mobile Monitoring
Synthetic Monitoring
Which to choose
Splunk and New Relic are both powerful observability platforms, but they serve fundamentally different organizational needs. Splunk dominates in enterprise security with its unified SIEM capabilities and massive-scale log analytics, while New Relic delivers a more accessible, developer-friendly full-stack observability experience with transparent usage-based pricing and a generous free tier.
Best-fit scenarios
Choose Splunk if:
Choose Splunk when your organization needs a combined security and observability platform at enterprise scale. Splunk is the stronger choice for security teams requiring SIEM, threat detection, compliance monitoring, and fraud prevention alongside infrastructure observability. Its SPL query language and 2,000+ integrations via Splunkbase make it ideal for organizations with complex, heterogeneous environments that generate massive data volumes.
Choose New Relic if:
Choose New Relic when your team prioritizes developer-centric observability with transparent, predictable pricing. New Relic excels for SRE and engineering teams that need APM, distributed tracing, and infrastructure monitoring in a single SaaS platform with 100 GB of free data ingest per month. Its 780+ quickstart integrations, AI-powered session replay, and dedicated synthetic monitoring make it the better fit for teams focused on application performance and digital experience rather than security operations.
These scenarios reflect the available product evidence. Your requirements, existing stack, and team expertise should guide the final decision.
Frequently Asked Questions
How does Splunk pricing compare to New Relic pricing in 2026?
Splunk and New Relic use fundamentally different pricing structures. For cost-conscious teams with moderate data volumes, New Relic is significantly more affordable and transparent. Splunk's costs can escalate rapidly at high data volumes, with sizable deployments exceeding $400,000 to $800,000 annually.
Can New Relic replace Splunk for security monitoring and SIEM?
New Relic offers vulnerability management with production-impact prioritization and AI-guided remediation, but it is not a full SIEM replacement. Splunk's Enterprise Security provides unified threat detection, investigation, and response with behavioral analytics, machine learning-based risk scoring, and advanced persistent threat defense. Splunk is the only vendor named a consecutive leader in both SIEM and observability reports from global analyst firms. If security operations are a primary requirement, Splunk remains the stronger platform. New Relic's security capabilities focus on application-level vulnerability management rather than enterprise-wide threat detection.
Which platform is better for monitoring AI and machine learning applications?
Both platforms have invested heavily in AI monitoring. New Relic offers dedicated AI and Agentic Monitoring that lets teams manage AI agents, scale AI safely, and control AI costs automatically, with APM specifically designed for AI applications. Splunk provides native agentic, GenAI, and ML capabilities through its AI-driven security and observability features, plus a Machine Learning Toolkit for custom model development. New Relic's approach is more focused on monitoring AI workloads as applications, while Splunk leverages AI primarily to enhance its security and operational analytics capabilities.
Which platform has better integrations and ecosystem support?
Splunk offers over 2,000 integrations through Splunkbase, its dedicated app marketplace, with built-in OpenTelemetry support, SDKs, and agents for instrumenting applications. New Relic provides 780+ quickstart integrations with pre-built observability resources for instant setup. While Splunk has a larger raw integration count, New Relic's quickstart approach includes pre-configured dashboards and alerts for each integration, reducing time to value. Both platforms support OpenTelemetry as an open standard for telemetry data collection, giving teams flexibility in how they instrument their applications.