Last updated June 5th 2024

New Relic vs SigNoz for APM and Observability in 2025

New Relic and SigNoz are sometimes compared for numerous use cases in APM and Observability. We have a detailed features table below. You can also customize your requirements and get expert ratings comparing these two solutions against hundreds of data points across Monitoring, Problem Resolution, Pricing, Use Case Fit, Instrumentation, Integration, Observability and Compliance.

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New Relic logo

New Relic

New Relic, one of the pioneering APM providers, has successfully reinvented its product to meet the requirements of a modern observability platform. The solution now provides insights into the software, infrastructure, and customer experience, offering businesses comprehensive visibility into their digital systems. New Relic's observability platform ensures that companies can efficiently manage system performance, understand customer experience, and accelerate software delivery.

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SigNoz logo

SigNoz

SigNoz delivers advanced observability, providing real-time insights into application performance. With a focus on precision and depth, SigNoz allows organizations to monitor and optimize their applications efficiently, ensuring a seamless user experience.

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Feature Comparison

Customize these feature priorities in Taloflow and get expert ratings for your exact use case.

Feature Dimensions Description New Relic SigNoz
AI Copilot
  • Observability
AI-powered assistance for querying and insights. NA NA
AI Stack Monitoring
  • Observability
Provides specialized insights for the AI application stack. Good NA
Automated, Robust and Comprehensive Topology and Dependency Mapping
  • Observability
Has a relationship engine that automatically calculates the relationships and dependencies for each unit of work. NA NA
Comprehensive and Integrated Metrics, Logs and Tracing under Developer Control
  • Observability
Allows developers to have control over instrumenting their code. NA Poor
High Cardinality Analytics at Scale
  • Observability
Provides fields to help identify the precise nature or source of degradation and errors, even in scaled-up environments with a very high number of events. OK Poor
Robust and Mature Observability Platform
  • Observability
  • Pricing
The solution is closer than most at offering automated and comprehensive collection of code profiles, metrics, logs, traces and dependencies for every unit of work in the application for most, if not all, use cases. Good NA
Very Flexible Custom Dashboarding
  • Observability
A wide range of custom views are possible to share across teams. Great OK
Visible Metrics in <1 Second
  • Observability
Delivers metrics in the UI or dashboard in near real-time. NA NA
Consumption (Data Volume) Based Pricing
  • Pricing
Rather than billing by host, CPU or core, the service will primarily bill based on the volume of data ingested. Great NA
Lowest Price (Cost) Solution
  • Pricing
The lowest cost solution for your use case even if it is not the most functionally-rich. NA NA
AWS EKS
  • Integration
None Good OK
AlertOps
  • Integration
None Great NA
Atlassian Jira
  • Integration
None Great NA
Azure AKS
  • Integration
None Great OK
Google Cloud GKE
  • Integration
None Great Great
Microsoft Teams
  • Integration
None NA NA
Open Source Kubernetes
  • Integration
None Good OK
OpenShift
  • Integration
None Good OK
OpsGenie
  • Integration
None Great NA
PagerDuty
  • Integration
None Great NA
Platform 9
  • Integration
None NA NA
Rancher
  • Integration
None NA NA
ServiceNow
  • Integration
None Great NA
Slack
  • Integration
None Good NA
Splunk On-Call
  • Integration
None Good NA
Enterprise SSO/SAML
  • Compliance
Offers SSO/SAML 2.0 to its customers. Great NA
FedRAMP
  • Compliance
Ensures that the government security requirements outlined in NIST 800-53 are met and supplemented by the PMO of FedRAMP. Great NA
GDPR
  • Compliance
Regulation on data protection and privacy of the data tied to citizens and residents of EU countries. UNKNOWN NA
HIPAA
  • Compliance
Demonstrates that security and privacy requirements are met for the storing and processing of protected health information (PHI and e-PHI). Great NA
ISO 27001
  • Compliance
Standard for information security management systems. Great Great
ISO 27017
  • Compliance
Standard for information security management systems. NA Great
ISO 27018
  • Compliance
Standard for information security management systems. NA Great
PCI DSS
  • Compliance
Standard that ensures consistent practices are met for data security in the payments card industry. UNKNOWN NA
Role-based Access Control (RBAC)
  • Problem Resolution
  • Compliance
The organization can set up advanced access limits for individuals based on their role and filter queries for performance monitoring. Great Great
SOC 2 Type 1
  • Compliance
Standard promoted by the American Institute of CPAs that ensures the integrity and privacy of customer data. Great NA
SOC 2 Type 2
  • Compliance
Standard promoted by the American Institute of CPAs that ensures the integrity and privacy of customer data. Great NA
AWS Monitoring
  • Monitoring
Monitor the health, performance, and security of your AWS resources and applications. Good Poor
Azure Monitoring
  • Monitoring
Monitor the performance and availability of your Azure applications and resources. Good Poor
Google Cloud Platform Monitoring
  • Monitoring
Monitor the health, performance, and security of your Google Cloud Platform resources and applications. Good OK
Kubernetes Monitoring
  • Monitoring
Monitor the health and performance of your Kubernetes clusters and applications deployed on Kubernetes. Good OK
Leader in Cloud Infrastructure Monitoring (not APM or Observability)
  • Monitoring
  • Use Case Fit
Recognized as a Leader in Cloud Infrastructure Monitoring by the big analyst firms. Good Poor
On-Premises Monitoring
  • Monitoring
Monitor the health, performance, and security of your on-premises infrastructure and applications. Good OK
Red Hat OpenShift Monitoring
  • Monitoring
Monitor the health and performance of your Red Hat OpenShift clusters and applications deployed on OpenShift. NA NA
Session Replay
  • Monitoring
View recordings of user interactions with your applications. NA NA
User Experience Monitoring
  • Monitoring
Ensures the seamless experience of users interacting with your applications. Good Poor
.NET Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your .NET code. NA Poor
.NET Logging Support
  • Instrumentation
Capture log events for your application written in .NET code. Great OK
.NET Metrics Support
  • Instrumentation
Track metrics for your system and application written in .NET code. Good OK
.NET Tracing Support
  • Instrumentation
Trace transactions for your application written in .NET code. Good OK
C/C++ Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your C/C++ code. Great OK
C/C++ Logging Support
  • Instrumentation
Capture log events for your application written in C/C++ code. NA OK
C/C++ Metrics Support
  • Instrumentation
Track metrics for your system and application written in C/C++ code. NA Poor
C/C++ Tracing Support
  • Instrumentation
Trace transactions for your application written in C/C++ code. Great Poor
Continuous Profiling (Capture Code Profile for Every Trace/Transaction)
  • Instrumentation
Code profiling provides the insights to improve efficiency (including optimizing cloud cost) and debug performance regressions. NA Poor
Data Recommendations
  • Instrumentation
Provides assistance in identifying uninstrumented services and vulnerabilities. NA Poor
Go Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your Go code. NA Poor
Go Logging Support
  • Instrumentation
Capture log events for your application written in Go code. Good OK
Go Metrics Support
  • Instrumentation
Track metrics for your system and application written in Go code. Good OK
Go Tracing Support
  • Instrumentation
Trace transactions for your application written in Go code. Good OK
Java Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your Java code. Good Poor
Java Logging Support
  • Instrumentation
Capture log events for your application written in Java code. Good Poor
Java Metrics Support
  • Instrumentation
Track metrics for your system and application written in Java code. Good OK
Java Tracing Support
  • Instrumentation
Trace transactions for your application written in Java code. Good Poor
Language Independent Agent with Dynamic Instrumentation
  • Instrumentation
The agent will monitor your hosts, logs, apps, containers, etc. without any configuration necessary. NA NA
Node.js Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your Node.js code. NA OK
Node.js Logging Support
  • Instrumentation
Capture log events for your application written in Node.js code. Good OK
Node.js Metrics Support
  • Instrumentation
Track metrics for your system and application written in Node.js code. NA OK
Node.js Tracing Support
  • Instrumentation
Trace transactions for your application written in Node.js code. Good OK
Open Platform Supporting Third Party Agents (OTEL/Prometheus)
  • Instrumentation
Supports Prometheus and provides more portability if ever you want to change your observability stack by instrumenting your code using the OTEL open source protocol. Great OK
PHP Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your PHP code. NA NA
PHP Logging Support
  • Instrumentation
Capture log events for your application written in PHP code. Good NA
PHP Metrics Support
  • Instrumentation
Track metrics for your system and application written in PHP code. Great NA
PHP Tracing Support
  • Instrumentation
Trace transactions for your application written in PHP code. Good NA
Perl Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your Perl code. NA NA
Perl Logging Support
  • Instrumentation
Capture log events for your application written in Perl code. NA NA
Perl Metrics Support
  • Instrumentation
Track metrics for your system and application written in Perl code. NA NA
Perl Tracing Support
  • Instrumentation
Trace transactions for your application written in Perl code. NA NA
Python Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your Python code. NA OK
Python Logging Support
  • Instrumentation
Capture log events for your application written in Python code. Good OK
Python Metrics Support
  • Instrumentation
Track metrics for your system and application written in Python code. Good OK
Python Tracing Support
  • Instrumentation
Trace transactions for your application written in Python code. Good Poor
Ruby Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your Ruby code. NA Poor
Ruby Logging Support
  • Instrumentation
Capture log events for your application written in Ruby code. Great Poor
Ruby Metrics Support
  • Instrumentation
Track metrics for your system and application written in Ruby code. Great Poor
Ruby Tracing Support
  • Instrumentation
Trace transactions for your application written in Ruby code. Good OK
Rust Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your Rust code. NA NA
Rust Logging Support
  • Instrumentation
Capture log events for your application written in Rust code. NA NA
Rust Metrics Support
  • Instrumentation
Track metrics for your system and application written in Rust code. NA NA
Rust Tracing Support
  • Instrumentation
Trace transactions for your application written in Rust code. Good NA
Scala Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your Scala code. NA NA
Scala Logging Support
  • Instrumentation
Capture log events for your application written in Scala code. NA NA
Scala Metrics Support
  • Instrumentation
Track metrics for your system and application written in Scala code. NA NA
Scala Tracing Support
  • Instrumentation
Trace transactions for your application written in Scala code. Great NA
eBPF Agent
  • Instrumentation
Extended Berkeley Packet Filter (eBPF) is like a sandbox that makes instrumentation more convenient, but is restricted to recent Linux kernels. Good NA
Accurate AI-based Problem Detection and Root Cause
  • Problem Resolution
AI-based root cause analysis enables you to resolve problems to reduce mean time to resolution (MTTR). Good NA
Automated Problem Resolution
  • Problem Resolution
The service automatically detects and resolves incidents, and typically generates post-mortems for record-keeping. NA Poor
Available as a SaaS
  • Use Case Fit
Provides a hosted version of the platform. Good OK
Available as an On-Premise/Self-hosted Installation
  • Use Case Fit
Allows you to use the platform on-prem or in hybrid environments. NA OK
Enterprise-grade Customer Acquisition and Support
  • Use Case Fit
The vendor's customer acquisition and support teams are oriented towards enterprise customers. NA NA
Enterprise-grade Product Suitable for Complex Hybrid Environments
  • Use Case Fit
The platform comes with a number of advanced features and capabilities for hybrid environments, across monoliths, SOA and microservice-based architectures. Great NA
Leader in APM
  • Use Case Fit
Recognized as a Leader in APM by the big analyst firms. Good NA
Suitable for Diverse Application Architectures
  • Use Case Fit
Can cover a wide range of architectures and combinations, including microservices, SOA, monolith, N-tier, and hybrid. Good Poor
Suitable for Purely Modern Microservice Architectures
  • Use Case Fit
Focussed on the unique debugging needs of microservice-based architectures, which consist of loosely-coupled and independent services. Good OK
Well-suited to Large Enterprise IT Operations Support Teams
  • Use Case Fit
The platform is suitable for enterprise companies with dedicated IT Operations teams. Great Poor
Well-suited to Small/Midsize Cloud/SRE Teams
  • Use Case Fit
The platform is suitable for scaleup tech companies with dedicated DevOps and SRE teams. Good Poor

Related Comparisons

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