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.

Feature	SteelCentral	Datadog
Overall Score	N/A	2
Primary Category	Network & Admin	Ai Tools & Services

Product Overview

SteelCentral

Description: 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.

Datadog

Description: 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.

Key Features Comparison

SteelCentral Features

• Network performance monitoring
• Application performance monitoring
• End-user experience monitoring
• Network forensics
• Unified communications monitoring
• Log management
• Reporting and analytics

Datadog Features

• 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

Pros & Cons Analysis

SteelCentral

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

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

Pricing Comparison

SteelCentral

• Subscription-Based
• Pay-As-You-Go

Datadog

• Free
• Pro
• Enterprise