[
ManageE... Reviews
](https://www.g2.com/products/manageengine-applications-manager/reviews)

[
ManageE... Reviews
](https://www.g2.com/products/manageengine-applications-manager/reviews)

# ManageEngine Applications Manager Features

##### 
## Experience (3)

Real-Time Monitoring

Provides users with real-time information on how individuals are using accessibility accomodation tools to interact with the site or application.

Session Replay

Tracks application and infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Behavioral Analysis

Allow administrators to gain valuable insights related to end-user behavior.

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##### 
## Management (10)

Content Management

Monitors web-content ensuring all assets and resources are displayed as intended, alerting administrators as issues arise.

Alerts

Alert over email, text, phone call, or more to multiple parties.

Budget Analysis

Provides information related to unnecessary spending and unused resources relating to their digital offerings.

System Integration

Integrates with a variety of IT systems.

Alerting

Automatically alerts necessary parties via email, text, or call when issues are identified.

Reporting

Generate sreports and dashboards highlighting trends and key metrics around issues and issue resolution.

Single Pane of Glass

Consolidate IT systems monitoring overviews to a single pane for quick insights.

Dashboards and Visualization

Offer pre-built and custom reporting and dashboards for quick insights into system states.

Performance Baselines

Set expected baselines for system functions.

Alerting

Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors.

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##### 
## Performance (6)

Uptime Monitoring

Generates alerts for whenever a website or application goes down, experiences an error, makes a major change, or other events.

Performance Monitoring

Provides tools to track and measure application or website performance.

Issue Tracking

Track problems and manage resolutions related to end-user experience issues.

Resource Monitoring

Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Real User Monitoring (RUM)

Captures and analyzes each transaction by users of a website or application in real time.

Second by Second Metrics

Provides high-frequency metrics data.

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##### 
## Functionality (17)

Monitoring

Monitors database functionality to verify baselines are maintained or exceeded.

Alerting

Sends alerts via email, text, phone, and more when an incident or issue occcurs.

Logging

Captures logs for all database functions to garner greater information around issues or failures.

Response Time

Monitors database query time for unusual execution times

Reporting

Manually and/or automatically generates reports covering database performance

Data Visualization

Follows database monitoring live information through graphical dashboards

Artificial Intelligence

Utilizes artificial intelligence to analyze big data.

Machine Learning

Utilizes machine learning to analyze big data.

Systems Monitoring

Monitors logs and activities from a wide range of IT systems.

Diverse Systems Monitoring

Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks.

Real-Time Analytics

Generate real-time high-level and/or in-depth analytics regarding monitored systems activity.

Observability

Generate insights into IT systems utilizing event metrics, logging, traces, and metadata.

AI/ML Integration

Integrate AI and/or machine learning capabilities to identify and address potential and active failures and errors.

Synthetic Monitoring

Monitors and test apps to address issues before they affect end users.

Dynamic Transaction Mapping

Provides dynamic end-to-end maps of every single transaction.

Load Balancing

Automatically adjusts resources base on application usage.

Cloud Observability

Monitors cloud microservices, containers, kubernetes, and other cloud native software.

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##### 
## Monitoring (10)

Usage Monitoring

Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Database Monitoring

Monitors performance and statistics related to memory, caches and connections.

API Monitoring

Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Real-Time Monitoring - Cloud Infrastructure Monitoring

Constantly monitors system to detect anomalies in real time.

Security and Compliance Monitoring

Enables monitoring of security and compliance standards across cloud infrastructure.

Performance Baselines

Performance Analysis

Performance Monitoring

AI/ML Assistance

Multi-System Monitoring

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##### 
## Administration (4)

Activity Monitoring

Actively monitor status of work stations either on-premise or remote.

Multi-Cloud Management

Allows users to track and control cloud spend across cloud services and providers.

Automation

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.

Auto-Scaling & Resource Optimization

Automatically scales resources based on demand and optimizes for performance and cost.

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##### 
## Analysis (3)

Reporting

Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

Dashboards and Visualizations

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Spend Forecasting and Optimization

Ability to project spend based on contracts, usage trends, and predicted growth.

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##### 
## Issue Resolution (3)

Root Cause Identification

Directly identifies, or increases identification speed for, root causes for IT system issues.

Proactive Identification

Proactively identifies trends on IT systems that could lead to failures or errors.

Resolution Guidance

Provides paths, suggestions, or other general assistance towards issue resolution.

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##### 
## Visibility (3)

Dashboards and Visualizations

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Alerts and Notifications

Clearly notifies users with relevant information and anomalies in a timely manner.

Reporting

Creates reports outlining performance and other relevant metrics.

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##### 
## Monitoring and Management (10)

Multi-Device Management

Allows users to track and control resource allocation across multiple devices.

Automation

Automatically allocates resources to optimize loads across devices.

Performance Baseline

Sets a standard performance baseline by which to compare live hardware metrics.

Real-Time Monitoring

Constantly monitors hardware to detect anomalies in real time.

Multi-Server Management

Allows users to track and control resource spend and loads across multiple servers.

Automation

Automatically allocates resources to optimize loads across servers.

Performance Baseline

Sets a standard performance baseline by which to compare live server activity.

Real-Time Monitoring

Constantly monitors server to detect anomalies in real time.

Immediate Alert Notification

Ability of the monitoring software to immediately alert the user in case of any issue.

Proactive Server Monitoring Software

Deploys remedial actions proactively. If this measure fails, then the user is alerted.

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##### 
## Visibility (3)

Dashboards and Visualizations

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Alerts and Notifications

Clearly notifies team members with relevant information and anomalies in a timely manner.

Reporting

Creates reports outlining load distribution, performance and other relevant metrics.

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##### 
## Response (3)

Dashboards and Visualization

Incident Alerting

Root Cause Analysis (RCA)

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##### 
## Cloud environment support (2)

Server Monitoring For Cloud Deployments

Supports public, hybrid and private cloud environments.

Software Scaling

Software can scale as the enterprises adds more servers to their portfolio virtually.

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##### 
## Generative AI (2)

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

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##### 
## Telemetry Collection & Ingestion - Observability (2)

Multi-Telemetry Ingestion

Ingests and processes multiple telemetry types, such as logs, metrics, and traces.

OpenTelemetry Support

Supports ingestion and standardization of observability data via OpenTelemetry protocol.

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##### 
## Visualization & Dashboards - Observability (3)

Service Dependency Mapping

Displays relationships between services to visualize system dependencies.

Unified Dashboard

Provides a consolidated view of system-wide telemetry in a single dashboard.

Trace Visualization

Allows users to explore and visualize distributed traces and span relationships.

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##### 
## Correlation & Root Cause Analysis - Observability (3)

Cross-Telemetry Correlation

Correlates logs, metrics, and traces to surface performance patterns and root causes.

Root Cause Detection

Identifies likely causes of issues using system insights and correlation logic.

Intelligent Alerting

Automatically alerts users to anomalies or critical events using contextual data.

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##### 
## Scalability & Ecosystem Integration - Observability (2)

Kubernetes Monitoring

Provides observability into containerized workloads and Kubernetes clusters.

Hybrid/Multi-Cloud Support

Enables observability across public cloud, private cloud, and on-prem environments.

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##### 
## AI Features - Observability (3)

Predictive Insights

Forecasts future system issues based on historical performance trends.

AI-Generated Incident Summaries

Summarizes incident root causes and potential fixes using generative AI.

AI Anomaly Detection

Uses machine learning to detect unusual behavior across telemetry data.

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##### 
## Agentic AI - Application Performance Monitoring (APM) (5)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Cloud Infrastructure Monitoring (6)

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Database Monitoring (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - AIOps Platforms (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Hardware Monitoring (4)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Cross-system Integration

Works across multiple software systems or databases

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Server Monitoring (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Enterprise Monitoring (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Digital Experience Monitoring (DEM) (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## AI Automation - Cloud Infrastructure Monitoring (2)

AI-Powered Anomaly Detection

Utilizes machine learning to automatically detect and alert on unusual patterns in infrastructure metrics.

AI-Driven Insight Recommendations

Provides AI-generated insights and actionable recommendations to optimize resource performance and cost.

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##### 
## Agentic AI - Observability Software (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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ManageEngine Applications Manager Comparisons

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4.5/5(1,366)

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##### Categories on G2

[
Application Performance Monitoring (APM)
](https://www.g2.com/categories/application-performance-monitoring-apm)[
Observability Software
](https://www.g2.com/categories/observability-software)[
AIOps Platforms
](https://www.g2.com/categories/aiops-platforms)

[
Cloud Infrastructure Monitoring
](https://www.g2.com/categories/cloud-infrastructure-monitoring)[
Enterprise Monitoring
](https://www.g2.com/categories/enterprise-monitoring)[
Database Monitoring
](https://www.g2.com/categories/database-monitoring)[
Digital Experience Monitoring (DEM)
](https://www.g2.com/categories/digital-experience-monitoring-dem)[
Server Monitoring
](https://www.g2.com/categories/server-monitoring)[
Hardware Monitoring
](https://www.g2.com/categories/hardware-monitoring)

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