SteelCentral vs Datadog

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

SteelCentral is a Network & Admin solution with tags like performance-monitoring, troubleshooting, visibility.

It boasts features such as Network performance monitoring, Application performance monitoring, End-user experience monitoring, Network forensics, Unified communications monitoring, Log management, Reporting and analytics and pros including Comprehensive visibility into network, application, and end-user performance, Troubleshoot performance issues quickly, Improve collaboration between NetOps and AppOps teams, Flexible deployment options - physical, virtual, SaaS, Scales to monitor large, complex environments.

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.

SteelCentral

SteelCentral

SteelCentral is a network and application performance monitoring platform by Riverbed Technology. It provides end-to-end visibility into network and application performance to help IT teams quickly identify and troubleshoot performance issues.

Categories:
performance-monitoring troubleshooting visibility

SteelCentral Features

  1. Network performance monitoring
  2. Application performance monitoring
  3. End-user experience monitoring
  4. Network forensics
  5. Unified communications monitoring
  6. Log management
  7. Reporting and analytics

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Comprehensive visibility into network, application, and end-user performance

Troubleshoot performance issues quickly

Improve collaboration between NetOps and AppOps teams

Flexible deployment options - physical, virtual, SaaS

Scales to monitor large, complex environments

Cons

Can be complex to deploy and configure

Requires training to use advanced features

Licensing can get expensive for full capabilities


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