Netdata Features
What are the features of Netdata?
Monitoring
- Database Monitoring
Administration
- Activity Monitoring
Analysis
- Reporting
- Dashboards and Visualizations
Monitoring and Management
- Multi-Server Management
- Automation
- Performance Baseline
- Real-Time Monitoring
- Immediate Alert Notification
- Proactive Server Monitoring Software
Visibility
- Dashboards and Visualizations
- Alerts and Notifications
- Reporting
Cloud environment support
- Server Monitoring For Cloud Deployments
- Software Scaling
Filter for Features
Functionality
Baseline | Sets and allows adjustment of website baseline functionality and configuration. | Not enough data | |
Alerting | Generates alerts for whenever a website goes down, experiences an error, makes a major change, or other events. | Not enough data | |
Multi-Site Monitoring | Monitor multiple websites at once, organizing them with dashboards. | Not enough data | |
Reporting | Generate reports manually or automatically about website performance. | Not enough data | |
Multi-Channel Alerting | Alert over email, text, phone call, and more to multiple parties. | Not enough data | |
Location Insights | Isolate geographic locations where website functionality is best and worst. | Not enough data | |
Monitoring | Monitors database functionality to verify baselines are maintained or exceeded. | Not enough data | |
Alerting | Sends alerts via email, text, phone, and more when an incident or issue occcurs. | Not enough data | |
Logging | Captures logs for all database functions to garner greater information around issues or failures. | Not enough data | |
Response Time | Monitors database query time for unusual execution times | Not enough data | |
Reporting | Manually and/or automatically generates reports covering database performance | Not enough data | |
Data Visualization | Follows database monitoring live information through graphical dashboards | Not enough data | |
Artificial Intelligence | Utilizes artificial intelligence to analyze big data. | Not enough data | |
Machine Learning | Utilizes machine learning to analyze big data. | Not enough data | |
Systems Monitoring | Monitors logs and activities from a wide range of IT systems. | Not enough data | |
Diverse Systems Monitoring | Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks. | Not enough data | |
Real-Time Analytics | Generate real-time high-level and/or in-depth analytics regarding monitored systems activity. | Not enough data | |
Observability | Generate insights into IT systems utilizing event metrics, logging, traces, and metadata. | Not enough data | |
AI/ML Integration | Integrate AI and/or machine learning capabilities to identify and address potential and active failures and errors. | Not enough data | |
Synthetic Monitoring | Monitors and test apps to address issues before they affect end users. | Not enough data | |
Dynamic Transaction Mapping | Provides dynamic end-to-end maps of every single transaction. | Not enough data | |
Load Balancing | Automatically adjusts resources base on application usage. | Not enough data | |
Cloud Observability | Monitors cloud microservices, containers, kubernetes, and other cloud native software. | Not enough data |
Monitoring
Usage Monitoring | Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste. 14 reviewers of Netdata have provided feedback on this feature. | 93% (Based on 14 reviews) | |
Database Monitoring | Monitors performance and statistics related to memory, caches and connections. 14 reviewers of Netdata have provided feedback on this feature. | 95% (Based on 14 reviews) | |
API Monitoring | Detects anomalies in functionality, user accessibility, traffic flows, and tampering. 14 reviewers of Netdata have provided feedback on this feature. | 90% (Based on 14 reviews) | |
Real-Time Monitoring - Cloud Infrastructure Monitoring | As reported in 14 Netdata reviews. Constantly monitors system to detect anomalies in real time. | 96% (Based on 14 reviews) | |
Security and Compliance Monitoring | Enables monitoring of security and compliance standards across cloud infrastructure. | Not enough data | |
Performance Baselines | Not enough data | ||
Performance Analysis | Not enough data | ||
Performance Monitoring | Not enough data | ||
AI/ML Assistance | Not enough data | ||
Multi-System Monitoring | Not enough data | ||
Resource utilization | Optimizes resource allocation. | Not enough data | |
Real-time monitoring | Consistently monitors processes for applications and IT infrastructure to detect anomalies in real-time. | Not enough data | |
Performance baseline | Sets up standard performance baseline to compare live container activities. | Not enough data | |
API monitoring | Traces connections between different containerized environments and detects anomalies in functionality, user accessibility, traffic flows, and tampering. | Not enough data |
Administration
Activity Monitoring | Actively monitor status of work stations either on-premise or remote. This feature was mentioned in 14 Netdata reviews. | 92% (Based on 14 reviews) | |
Multi-Cloud Management | Based on 13 Netdata reviews. Allows users to track and control cloud spend across cloud services and providers. | 96% (Based on 13 reviews) | |
Automation | Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. 14 reviewers of Netdata have provided feedback on this feature. | 89% (Based on 14 reviews) | |
Auto-Scaling & Resource Optimization | Automatically scales resources based on demand and optimizes for performance and cost. | Not enough data |
Analysis
Reporting | As reported in 15 Netdata reviews. Creates reports outlining resource, underutilization, cost trends, and/or functional overlap. | 91% (Based on 15 reviews) | |
Dashboards and Visualizations | Presents information and analytics in a digestible, intuitive, and visually appealing way. 15 reviewers of Netdata have provided feedback on this feature. | 99% (Based on 15 reviews) | |
Spend Forecasting and Optimization | As reported in 13 Netdata reviews. Ability to project spend based on contracts, usage trends, and predicted growth. | 86% (Based on 13 reviews) | |
Track Trends | Allows user to track log trends. | Not enough data | |
Detect Anomalies | Identify and predict anomalies in real-time with outlier detection and uncover root-causes | Not enough data | |
Metric and Event Data | Analyze both metric and event data on the same platform regardless of source or structure | Not enough data | |
Search | Search your logs for troubleshooting and open-ended exploration of your data | Not enough data | |
Alerts | Create alerts based on search patterns, thresholds for specific log metrics, or other conditions | Not enough data | |
Live Tail | See your data, in real time, streaming into the system from multiple data sources | Not enough data | |
Search | Allows users to search logs for troubleshooting and open-ended exploration of data. | Not enough data | |
Reporting | Creates reports outlining resource, underutilization, cost trends, and/or functional overlap. | Not enough data | |
Visualization | Presents information and analytics in a digestible, intuitive, and visually appealing way. | Not enough data | |
Track trends | Allows users to track log trends. | Not enough data |
Issue Resolution
Root Cause Identification | Directly identifies, or increases identification speed for, root causes for IT system issues. | Not enough data | |
Proactive Identification | Proactively identifies trends on IT systems that could lead to failures or errors. | Not enough data | |
Resolution Guidance | Provides paths, suggestions, or other general assistance towards issue resolution. | Not enough data | |
Root cause identification | Directly identifies, or increases identification speed for, root causes for container issues. | Not enough data | |
Resolution guidance | Provides paths, suggestions, or other general assistance towards issue resolution. | Not enough data | |
Proactive identification | Proactively identifies trends on container systems that could lead to failures or errors. | Not enough data |
Management
System Integration | Integrates with a variety of IT systems. | Not enough data | |
Alerting | Automatically alerts necessary parties via email, text, or call when issues are identified. | Not enough data | |
Reporting | Generate sreports and dashboards highlighting trends and key metrics around issues and issue resolution. | Not enough data | |
Single Pane of Glass | Consolidate IT systems monitoring overviews to a single pane for quick insights. | Not enough data | |
Dashboards and Visualization | Offer pre-built and custom reporting and dashboards for quick insights into system states. | Not enough data | |
Performance Baselines | Set expected baselines for system functions. | Not enough data | |
Alerting | Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors. | Not enough data |
Visibility
Dashboards and Visualizations | Presents information and analytics in a digestible, intuitive, and visually appealing way. | Not enough data | |
Alerts and Notifications | Clearly notifies users with relevant information and anomalies in a timely manner. | Not enough data | |
Reporting | Creates reports outlining log activity and relevant metrics. | Not enough data |
Monitoring and Management
Automation | Automatically allocates resources to address log anomalies. | Not enough data | |
Performance Baseline | Sets a standard performance baseline by which to compare log activity. | Not enough data | |
Real-Time Monitoring | Constantly monitors logs to detect anomalies in real time. | Not enough data | |
Multi-Server Management | As reported in 32 Netdata reviews. Allows users to track and control resource spend and loads across multiple servers. | 92% (Based on 32 reviews) | |
Automation | Automatically allocates resources to optimize loads across servers. 28 reviewers of Netdata have provided feedback on this feature. | 78% (Based on 28 reviews) | |
Performance Baseline | As reported in 29 Netdata reviews. Sets a standard performance baseline by which to compare live server activity. | 93% (Based on 29 reviews) | |
Real-Time Monitoring | As reported in 32 Netdata reviews. Constantly monitors server to detect anomalies in real time. | 97% (Based on 32 reviews) | |
Immediate Alert Notification | Based on 19 Netdata reviews. Ability of the monitoring software to immediately alert the user in case of any issue. | 94% (Based on 19 reviews) | |
Proactive Server Monitoring Software | Deploys remedial actions proactively. If this measure fails, then the user is alerted. 18 reviewers of Netdata have provided feedback on this feature. | 89% (Based on 18 reviews) |
Visibility
Dashboards and Visualizations | Presents information and analytics in a digestible, intuitive, and visually appealing way. This feature was mentioned in 32 Netdata reviews. | 95% (Based on 32 reviews) | |
Alerts and Notifications | Based on 32 Netdata reviews. Clearly notifies team members with relevant information and anomalies in a timely manner. | 88% (Based on 32 reviews) | |
Reporting | Creates reports outlining load distribution, performance and other relevant metrics. 30 reviewers of Netdata have provided feedback on this feature. | 84% (Based on 30 reviews) |
Data Sources
Pre-Built Connectors | Provides useful pre-defined data connections to various types of IoT sensors and objects. | Not enough data | |
API | Provides a robust external interface for integrating data, logic and workflows with other software applications. | Not enough data | |
Performance and Stability | Maintains an efficient, reliable data flow with established sources. | Not enough data |
Analytics
Queries | Run detailed queries for searching, sorting, and analyzing data. | Not enough data | |
Dashboards | Create personalized dashboards for observing and interacting with data. | Not enough data | |
Visualizations | Contains tools to visualize data sets or workflows. | Not enough data | |
Insights | Offers actionable insights or relevant findings from unstructured data sets. | Not enough data |
Metrics
Device Performance | Track the individual performance of connected devices. | Not enough data | |
Operational Performance | Learn about overall operational performance from device observations. | Not enough data | |
Environmental Conditions | Make observations about environmental and workplace conditions. | Not enough data | |
Resource Usage | Measure the usage of and/or demand for various resources. | Not enough data |
Data Preparation
Data Sources | Automatically collect logs from all your services, applications, and platforms | Not enough data | |
Indexing | Automate the indexing of machine data that's critical to your operations | Not enough data | |
Automated Tagging | See log data in context with automated tagging and correlation | Not enough data | |
Data Blending | Mix and match data from apps, hosts, containers, services, networks, and more | Not enough data |
Visualization
Dashboards | Visualize log data on dashboards | Not enough data | |
Data Discovery | Drill down and explore data to discover new insights | Not enough data |
Response
Dashboards and Visualization | Not enough data | ||
Incident Alerting | Not enough data | ||
Root Cause Analysis (RCA) | Not enough data |
Performance
Real User Monitoring (RUM) | Captures and analyzes each transaction by users of a website or application in real time. | Not enough data | |
Second by Second Metrics | Provides high-frequency metrics data. | Not enough data |
Cloud environment support
Server Monitoring For Cloud Deployments | As reported in 15 Netdata reviews. Supports public, hybrid and private cloud environments. | 93% (Based on 15 reviews) | |
Software Scaling | As reported in 15 Netdata reviews. Software can scale as the enterprises adds more servers to their portfolio virtually. | 89% (Based on 15 reviews) |
Alerts management
Multi-mode alerts | Alerts over email, text, phone call, or more to multiple parties. | Not enough data | |
Opimization alerts | Provides information related to unnecessary spending and unused resources. | Not enough data | |
Incident alerts | Gives alerts when incidents arise. | Not enough data |
Automation
Resolution automation | Diagnoses and resolves incidents without the need for human interaction. | Not enough data | |
Automation | Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. | Not enough data |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data |
Telemetry Collection & Ingestion - Observability
Multi-Telemetry Ingestion | Ingests and processes multiple telemetry types, such as logs, metrics, and traces. | Not enough data | |
OpenTelemetry Support | Supports ingestion and standardization of observability data via OpenTelemetry protocol. | Not enough data |
Visualization & Dashboards - Observability
Service Dependency Mapping | Displays relationships between services to visualize system dependencies. | Not enough data | |
Unified Dashboard | Provides a consolidated view of system-wide telemetry in a single dashboard. | Not enough data | |
Trace Visualization | Allows users to explore and visualize distributed traces and span relationships. | Not enough data |
Correlation & Root Cause Analysis - Observability
Cross-Telemetry Correlation | Correlates logs, metrics, and traces to surface performance patterns and root causes. | Not enough data | |
Root Cause Detection | Identifies likely causes of issues using system insights and correlation logic. | Not enough data | |
Intelligent Alerting | Automatically alerts users to anomalies or critical events using contextual data. | Not enough data |
Scalability & Ecosystem Integration - Observability
Kubernetes Monitoring | Provides observability into containerized workloads and Kubernetes clusters. | Not enough data | |
Hybrid/Multi-Cloud Support | Enables observability across public cloud, private cloud, and on-prem environments. | Not enough data |
AI Features - Observability
Predictive Insights | Forecasts future system issues based on historical performance trends. | Not enough data | |
AI-Generated Incident Summaries | Summarizes incident root causes and potential fixes using generative AI. | Not enough data | |
AI Anomaly Detection | Uses machine learning to detect unusual behavior across telemetry data. | Not enough data |
Agentic AI - Application Performance Monitoring (APM)
Autonomous Task Execution | Capability to perform complex tasks without constant human input | 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 | |
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 |
Agentic AI - Log Analysis
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 |
Agentic AI - IT Alerting
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 |
Agentic AI - Website 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 |
Agentic AI - Cloud Infrastructure Monitoring
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 |
Agentic AI - Database 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 |
Agentic AI - AIOps Platforms
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 |
Agentic AI - Log 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 |
Agentic AI - Server 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 |
Agentic AI - Enterprise 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 |
AI Automation - Cloud Infrastructure Monitoring
AI-Powered Anomaly Detection | Utilizes machine learning to automatically detect and alert on unusual patterns in infrastructure metrics. | Not enough data | |
AI-Driven Insight Recommendations | Provides AI-generated insights and actionable recommendations to optimize resource performance and cost. | Not enough data |
Agentic AI - Observability Software
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 |