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ManageEngine NetFlow Analyzer
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ManageEngine NetFlow Analyzer Features

What are the features of ManageEngine NetFlow Analyzer?

Functionality

  • Performance Monitoring
  • Alerting
  • Improvement Suggestions
  • Multi-Network Capability

Management

  • Performance Baseline
  • Data Visualization
  • Path Analysis

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ManageEngine NetFlow Analyzer Categories on G2

Filter for Features

Functionality

Performance Monitoring

Continuously monitors network performance across the entire span of a network. This feature was mentioned in 25 ManageEngine NetFlow Analyzer reviews.
90%
(Based on 25 reviews)

Alerting

Sends alerts via pop-up notifications, texts, emails, or calls regarding network issues or failures. This feature was mentioned in 25 ManageEngine NetFlow Analyzer reviews.
91%
(Based on 25 reviews)

Improvement Suggestions

Suggests potential remedies or improvements to slowdowns, errors, or failures. 25 reviewers of ManageEngine NetFlow Analyzer have provided feedback on this feature.
81%
(Based on 25 reviews)

Multi-Network Capability

Provides monitoring capabilities for multiple networks at once. This feature was mentioned in 24 ManageEngine NetFlow Analyzer reviews.
83%
(Based on 24 reviews)

Management

Performance Baseline

Sets a standard performance baseline by which to compare live network activity. This feature was mentioned in 24 ManageEngine NetFlow Analyzer reviews.
86%
(Based on 24 reviews)

Data Visualization

As reported in 25 ManageEngine NetFlow Analyzer reviews. Charts or graphs live and historical network performance for quick status checking and analysis.
85%
(Based on 25 reviews)

Path Analysis

Gives insights into which specific network paths are performing suboptimally. This feature was mentioned in 24 ManageEngine NetFlow Analyzer reviews.
83%
(Based on 24 reviews)

Monitoring - Network Monitoring

360-Degree Network Visibility

Offers full observability of all network environments, including on-premises, cloud, SD-WAN, WLAN, and edge computing.

Not enough data

Automated Network Discovery

Automatically detects and maps all network devices and architectures, reducing manual effort and improving visibility.

Not enough data

Real-Time Monitoring

Provides true real-time network monitoring to detect and resolve issues instantly, rather than relying on near-time data.

Not enough data

Analytics - Network Monitoring

Predictive Performance Analytics

Uses AI-driven analysis of historical and real-time data to forecast network issues before they impact performance.

Not enough data

Packet & Flow Analysis

Combines packet and flow analysis techniques to provide a comprehensive view of network traffic and performance.

Not enough data

Security - Network Monitoring

Encrypted Data Transmission

Ensures all monitored network data is securely encrypted both in transit and at rest.

Not enough data

Zero Trust and Identity Management

Supports integration with Zero Trust frameworks and identity management solutions to enhance network security.

Not enough data

Integrated Network Security

Unifies network performance monitoring with security intelligence to identify and mitigate threats in real-time.

Not enough data

Network Performance - Network Monitoring

Dynamic Network Optimization

Continuously analyzes and adjusts network configurations to optimize performance and reliability.

Not enough data

Automated Tasks Routing

Automates routine network monitoring tasks, reducing operational overhead and human error.

Not enough data

AI Automation - Network Monitoring

Machine Learning-Based Anomaly Detection

Uses machine learning to identify network anomalies, preventing security and performance issues before they escalate.

Not enough data

Self-Healing Networks

Automates corrective actions for common network issues, reducing downtime and manual intervention.

Not enough data

Predictive Network Maintenance

Leverages AI to anticipate hardware failures, capacity issues, and performance bottlenecks before they occur.

Not enough data

Agentic AI - Network Monitoring

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Not enough data

Multi-step Planning

Ability to break down and plan multi-step processes

Not enough data

Cross-system Integration

Works across multiple software systems or databases

Not enough data

Adaptive Learning

Improves performance based on feedback and experience

Not enough data

Natural Language Interaction

Engages in human-like conversation for task delegation

Not enough data

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Not enough data

Decision Making

Makes informed choices based on available data and objectives

Not enough data