New Relic vs Datadog

Struggling to choose between New Relic and Datadog? Both products offer unique advantages, making it a tough decision.

New Relic is a Ai Tools & Services solution with tags like monitoring, performance, analytics, application, devops.

It boasts features such as Real-time performance monitoring, Error and exception tracking, Transaction tracing, Cross-application tracing, Alerting and notifications, Custom dashboards, Log management, Browser monitoring, Mobile monitoring and pros including Detailed performance insights, Quick and easy setup, Flexible alerting, Integration with many platforms, Good customer support.

On the other hand, Datadog is a Ai Tools & Services product tagged with monitoring, analytics, cloud, metrics, events, logs.

Its standout features include Real-time metrics monitoring, Log management and analysis, Application performance monitoring, Infrastructure monitoring, Synthetic monitoring, Alerting and notifications, Dashboards and visualizations, Collaboration tools, Anomaly detection, Incident management, and it shines with pros like Powerful dashboards and visualizations, Easy infrastructure monitoring setup, Good value for money, Strong integration ecosystem, Flexible pricing model, Good alerting capabilities.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

New Relic

New Relic

New Relic is a performance monitoring software for applications. It allows developers to track and monitor application performance in real-time to detect and diagnose issues. New Relic provides insights into app load times, throughput, errors, and more.

Categories:
monitoring performance analytics application devops

New Relic Features

  1. Real-time performance monitoring
  2. Error and exception tracking
  3. Transaction tracing
  4. Cross-application tracing
  5. Alerting and notifications
  6. Custom dashboards
  7. Log management
  8. Browser monitoring
  9. Mobile monitoring

Pricing

  • Free
  • Subscription-Based

Pros

Detailed performance insights

Quick and easy setup

Flexible alerting

Integration with many platforms

Good customer support

Cons

Can get expensive for large apps

Steep learning curve

May need additional services for full APM

Alerts can be noisy if not tuned


Datadog

Datadog

Datadog is a monitoring and analytics platform for cloud applications. It aggregates metrics, events, and logs from servers, databases, tools, and services to present a unified view of an entire stack. Datadog helps developers observe application performance, optimize integrations, and collaborate with other teams to quickly solve problems.

Categories:
monitoring analytics cloud metrics events logs

Datadog Features

  1. Real-time metrics monitoring
  2. Log management and analysis
  3. Application performance monitoring
  4. Infrastructure monitoring
  5. Synthetic monitoring
  6. Alerting and notifications
  7. Dashboards and visualizations
  8. Collaboration tools
  9. Anomaly detection
  10. Incident management

Pricing

  • Free
  • Pro
  • Enterprise

Pros

Powerful dashboards and visualizations

Easy infrastructure monitoring setup

Good value for money

Strong integration ecosystem

Flexible pricing model

Good alerting capabilities

Cons

Steep learning curve

Can get expensive at higher tiers

Limited customization options

Alerting can be noisy at times

Lacks advanced machine learning capabilities