Last updated June 5th 2024

Datadog APM vs SigNoz for APM and Observability in 2025

Datadog APM 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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Datadog APM logo

Datadog APM

Datadog has been at the forefront of cloud monitoring for cloud-native companies. Its Application Performance Monitoring (APM) service is part of an extensive portfolio of complementary monitoring and observability tools. By capturing traces across various layers and services, Datadog APM provides developers with deep insights into their applications' performance, allowing for more effective troubleshooting and performance optimization.

Grade Datadog APM for my use case
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 Datadog SigNoz
AI Copilot
  • Observability
AI-powered assistance for querying and insights. Great NA
AI Stack Monitoring
  • Observability
Provides specialized insights for the AI application stack. Great 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. Good 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. Good 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. NA NA
Lowest Price (Cost) Solution
  • Pricing
The lowest cost solution for your use case even if it is not the most functionally-rich. Great NA
AWS EKS
  • Integration
None Great OK
AlertOps
  • Integration
None NA NA
Atlassian Jira
  • Integration
None Great NA
Azure AKS
  • Integration
None Great OK
Google Cloud GKE
  • Integration
None Great Great
Microsoft Teams
  • Integration
None Great NA
Open Source Kubernetes
  • Integration
None Great OK
OpenShift
  • Integration
None Great OK
OpsGenie
  • Integration
None Great NA
PagerDuty
  • Integration
None Great NA
Platform 9
  • Integration
None NA NA
Rancher
  • Integration
None Great NA
ServiceNow
  • Integration
None Good NA
Slack
  • Integration
None Good NA
Splunk On-Call
  • Integration
None Great 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. NA NA
GDPR
  • Compliance
Regulation on data protection and privacy of the data tied to citizens and residents of EU countries. Great 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. Great Great
ISO 27018
  • Compliance
Standard for information security management systems. Great 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. NA Great
SOC 2 Type 1
  • Compliance
Standard promoted by the American Institute of CPAs that ensures the integrity and privacy of customer data. NA NA
SOC 2 Type 2
  • Compliance
Standard promoted by the American Institute of CPAs that ensures the integrity and privacy of customer data. NA NA
AWS Monitoring
  • Monitoring
Monitor the health, performance, and security of your AWS resources and applications. Great Poor
Azure Monitoring
  • Monitoring
Monitor the performance and availability of your Azure applications and resources. Great Poor
Google Cloud Platform Monitoring
  • Monitoring
Monitor the health, performance, and security of your Google Cloud Platform resources and applications. Great OK
Kubernetes Monitoring
  • Monitoring
Monitor the health and performance of your Kubernetes clusters and applications deployed on Kubernetes. Great 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. Great Poor
On-Premises Monitoring
  • Monitoring
Monitor the health, performance, and security of your on-premises infrastructure and applications. Great 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. Good 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. Great OK
.NET Tracing Support
  • Instrumentation
Trace transactions for your application written in .NET code. Great OK
C/C++ Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your C/C++ code. NA 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. Great Poor
Data Recommendations
  • Instrumentation
Provides assistance in identifying uninstrumented services and vulnerabilities. Great Poor
Go Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your Go code. Great Poor
Go Logging Support
  • Instrumentation
Capture log events for your application written in Go code. Great OK
Go Metrics Support
  • Instrumentation
Track metrics for your system and application written in Go code. Great 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. Great Poor
Java Metrics Support
  • Instrumentation
Track metrics for your system and application written in Java code. Great OK
Java Tracing Support
  • Instrumentation
Trace transactions for your application written in Java code. Great 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. Great 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. Good 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. Good OK
PHP Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your PHP code. Good 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. NA NA
PHP Tracing Support
  • Instrumentation
Trace transactions for your application written in PHP code. Great NA
Perl Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your Perl code. Great NA
Perl Logging Support
  • Instrumentation
Capture log events for your application written in Perl code. Great NA
Perl Metrics Support
  • Instrumentation
Track metrics for your system and application written in Perl code. Great NA
Perl Tracing Support
  • Instrumentation
Trace transactions for your application written in Perl code. Good NA
Python Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your Python code. Good 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. Great Poor
Ruby Code Profiling Support
  • Instrumentation
Understand the resource-consumption and performance of your Ruby code. Good 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. Great 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. NA 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). Great 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. Great 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. NA 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. Great 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. Great 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. Great Poor

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