Datadog Features
What are the features of Datadog?
Response
- Dashboards and Visualization
Administration
- Activity Monitoring
Functionality
- Monitoring
- Alerting
- Response Time
- Cloud Observability
Monitoring
- Usage Monitoring
- Database Monitoring
- API Monitoring
- Real-Time Monitoring - Cloud Infrastructure Monitoring
- Performance Baselines
- Performance Monitoring
Analysis
- Reporting
- Dashboards and Visualizations
Performance
- Real User Monitoring (RUM)
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Datadog Categories on G2
Filter for Features
Response
Threat Intelligence | As reported in 40 Datadog reviews. Gathers information related to threats in order to gain further information on remedies. | 80% (Based on 40 reviews) | |
Dashboards and Visualization | 106 reviewers of Datadog have provided feedback on this feature. | 88% (Based on 106 reviews) | |
Incident Alerting | 94 reviewers of Datadog have provided feedback on this feature. | 88% (Based on 94 reviews) | |
Root Cause Analysis (RCA) | 87 reviewers of Datadog have provided feedback on this feature. | 79% (Based on 87 reviews) |
Records
Incident Logs | As reported in 47 Datadog reviews. Information on each incident is stored in databases for user reference and analytics. | 93% (Based on 47 reviews) | |
Incident Reports | Produces reports detailing trends and vulnerabilities related to their network and infrastructure. 45 reviewers of Datadog have provided feedback on this feature. | 90% (Based on 45 reviews) | |
Resource Usage | Analyzes recurring incidents and remedies to ensure optimal resource usage. This feature was mentioned in 52 Datadog reviews. | 85% (Based on 52 reviews) |
Management
Incident Alerts | Gives alerts when incidents arise. Some responses may be automated, but users will still be informed. This feature was mentioned in 48 Datadog reviews. | 93% (Based on 48 reviews) | |
Database Management | Adminstrators can access and organize data related to incidents to produce reports or make data more navigable. This feature was mentioned in 44 Datadog reviews. | 84% (Based on 44 reviews) | |
Performance Baseline | Sets a standard performance baseline by which to compare live network activity. 43 reviewers of Datadog have provided feedback on this feature. | 86% (Based on 43 reviews) | |
Data Visualization | Charts or graphs live and historical network performance for quick status checking and analysis. This feature was mentioned in 44 Datadog reviews. | 90% (Based on 44 reviews) | |
Path Analysis | As reported in 41 Datadog reviews. Gives insights into which specific network paths are performing suboptimally. | 87% (Based on 41 reviews) | |
System Integration | As reported in 17 Datadog reviews. Integrates with a variety of IT systems. | 86% (Based on 17 reviews) | |
Alerting | Automatically alerts necessary parties via email, text, or call when issues are identified. 17 reviewers of Datadog have provided feedback on this feature. | 96% (Based on 17 reviews) | |
Reporting | Generate sreports and dashboards highlighting trends and key metrics around issues and issue resolution. 17 reviewers of Datadog have provided feedback on this feature. | 89% (Based on 17 reviews) | |
Single Pane of Glass | Consolidate IT systems monitoring overviews to a single pane for quick insights. 31 reviewers of Datadog have provided feedback on this feature. | 84% (Based on 31 reviews) | |
Dashboards and Visualization | Offer pre-built and custom reporting and dashboards for quick insights into system states. 34 reviewers of Datadog have provided feedback on this feature. | 85% (Based on 34 reviews) | |
Performance Baselines | As reported in 31 Datadog reviews. Set expected baselines for system functions. | 81% (Based on 31 reviews) | |
Alerting | Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors. This feature was mentioned in 36 Datadog reviews. | 90% (Based on 36 reviews) |
Network Management
Activity Monitoring | Documents the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point. 10 reviewers of Datadog have provided feedback on this feature. | 92% (Based on 10 reviews) | |
Asset Management | Keeps records of each network asset and its activity. Discovers new assets accessing the network. 10 reviewers of Datadog have provided feedback on this feature. | 87% (Based on 10 reviews) | |
Log Management | Based on 11 Datadog reviews. Provides security information and stores the data in a secure repository for reference. | 94% (Based on 11 reviews) |
Incident Management
Event Management | Alerts users of incidents and allows users to intervene manually or triggers an automated response. 11 reviewers of Datadog have provided feedback on this feature. | 92% (Based on 11 reviews) | |
Automated Response | Reduces time spent remedying issues manually. Resolves common network security incidents quickly. 10 reviewers of Datadog have provided feedback on this feature. | 92% (Based on 10 reviews) | |
Incident Reporting | Based on 11 Datadog reviews. Documents cases of abnormal activity and compromised systems. | 91% (Based on 11 reviews) | |
Incident Logs | As reported in 11 Datadog reviews. Information on each incident is stored in databases for user reference and analytics. | 85% (Based on 11 reviews) | |
Incident Alerts | Gives alerts when incidents arise. Some responses may be automated, but users will still be informed. This feature was mentioned in 11 Datadog reviews. | 91% (Based on 11 reviews) | |
Incident Reporting | As reported in 11 Datadog reviews. Produces reports detailing trends and vulnerabilities related to their network and infrastructure. | 89% (Based on 11 reviews) |
Security Intelligence
Threat Intelligence | Stores information related to common threats and how to resolve them once incidents occur. 11 reviewers of Datadog have provided feedback on this feature. | 82% (Based on 11 reviews) | |
Vulnerability Assessment | Analyzes your existing network and IT infrastructure to outline access points that can be easily compromised. | Not enough data | |
Advanced Analytics | Allows users to customize analytics with granulized metrics that are pertinent to your specific resources. This feature was mentioned in 10 Datadog reviews. | 92% (Based on 10 reviews) | |
Data Examination | Based on 12 Datadog reviews. Allows users to search databases and incident logs to gain insights on vulnerabilities and incidents. | 88% (Based on 12 reviews) |
Operations
Scheduling | Allows users to schedule instances, changes or other operational tasks in advance. | Not enough data | |
Automation | Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. | Not enough data | |
Multi-Cloud Management | Allows users to track and control cloud spend across cloud services and providers. | Not enough data | |
Usage Monitoring | Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste. | Not enough data |
Cost Optimization
Spend Forecasting and Optimization | Ability to project spend based on contracts, usage trends, and predicted growth. | Not enough data | |
Recommendations | Provides use-specific recommendations regarding performance and resource utilization. | Not enough data | |
Spend Tracking | Provides ability to track and/or map spending on all cloud spend across departments with little to no manual entry. | Not enough data |
Administration
Reporting | Creates reports outlining resource, underutilization, cost trends, and/or functional overlap. | Not enough data | |
Dashboards and Visualizations | Presents information and analytics in a digestible, intuitive, and visually appealing way. | Not enough data | |
Compliance | Helps companies ensure they meet their industry-specific compliance needs for data management and privacy standards. | Not enough data | |
Activity Monitoring | Actively monitor status of work stations either on-premise or remote. 104 reviewers of Datadog have provided feedback on this feature. | 85% (Based on 104 reviews) | |
Multi-Cloud Management | As reported in 84 Datadog reviews. Allows users to track and control cloud spend across cloud services and providers. | 85% (Based on 84 reviews) | |
Automation | As reported in 83 Datadog reviews. Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. | 82% (Based on 83 reviews) |
Functionality
Baseline | As reported in 45 Datadog reviews. Sets and allows adjustment of website baseline functionality and configuration. | 86% (Based on 45 reviews) | |
Alerting | Based on 59 Datadog reviews. Generates alerts for whenever a website goes down, experiences an error, makes a major change, or other events. | 93% (Based on 59 reviews) | |
Multi-Site Monitoring | Monitor multiple websites at once, organizing them with dashboards. This feature was mentioned in 53 Datadog reviews. | 90% (Based on 53 reviews) | |
Reporting | Based on 46 Datadog reviews. Generate reports manually or automatically about website performance. | 87% (Based on 46 reviews) | |
Multi-Channel Alerting | Based on 48 Datadog reviews. Alert over email, text, phone call, and more to multiple parties. | 89% (Based on 48 reviews) | |
Location Insights | Isolate geographic locations where website functionality is best and worst. 41 reviewers of Datadog have provided feedback on this feature. | 89% (Based on 41 reviews) | |
Monitoring | Based on 95 Datadog reviews. Monitors database functionality to verify baselines are maintained or exceeded. | 92% (Based on 95 reviews) | |
Alerting | Sends alerts via email, text, phone, and more when an incident or issue occcurs. This feature was mentioned in 96 Datadog reviews. | 91% (Based on 96 reviews) | |
Logging | Captures logs for all database functions to garner greater information around issues or failures. This feature was mentioned in 81 Datadog reviews. | 93% (Based on 81 reviews) | |
Response Time | Based on 96 Datadog reviews. Monitors database query time for unusual execution times | 89% (Based on 96 reviews) | |
Reporting | As reported in 80 Datadog reviews. Manually and/or automatically generates reports covering database performance | 88% (Based on 80 reviews) | |
Data Visualization | Based on 85 Datadog reviews. Follows database monitoring live information through graphical dashboards | 89% (Based on 85 reviews) | |
Performance Monitoring | Based on 46 Datadog reviews. Continuously monitors network performance across the entire span of a network. | 92% (Based on 46 reviews) | |
Alerting | As reported in 51 Datadog reviews. Sends alerts via pop-up notifications, texts, emails, or calls regarding network issues or failures. | 92% (Based on 51 reviews) | |
Improvement Suggestions | Suggests potential remedies or improvements to slowdowns, errors, or failures. 37 reviewers of Datadog have provided feedback on this feature. | 81% (Based on 37 reviews) | |
Multi-Network Capability | As reported in 39 Datadog reviews. Provides monitoring capabilities for multiple networks at once. | 84% (Based on 39 reviews) | |
Multi-Network Capability | Provides monitoring capabilities for multiple networks at once. | Not enough data | |
Anomaly Detection | Constantly monitors activity related to user behavior and compares activity to benchmarked patterns. | Not enough data | |
Network Visibility | Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks. | Not enough data | |
Scalability | Provides features to allow scaling for large organizations. | Not enough data | |
Artificial Intelligence | Based on 14 Datadog reviews. Utilizes artificial intelligence to analyze big data. | 92% (Based on 14 reviews) | |
Machine Learning | Utilizes machine learning to analyze big data. This feature was mentioned in 15 Datadog reviews. | 86% (Based on 15 reviews) | |
Systems Monitoring | Based on 19 Datadog reviews. Monitors logs and activities from a wide range of IT systems. | 94% (Based on 19 reviews) | |
Diverse Systems Monitoring | Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks. 32 reviewers of Datadog have provided feedback on this feature. | 84% (Based on 32 reviews) | |
Real-Time Analytics | Generate real-time high-level and/or in-depth analytics regarding monitored systems activity. 32 reviewers of Datadog have provided feedback on this feature. | 86% (Based on 32 reviews) | |
Observability | Generate insights into IT systems utilizing event metrics, logging, traces, and metadata. 34 reviewers of Datadog have provided feedback on this feature. | 88% (Based on 34 reviews) | |
AI/ML Integration | Based on 28 Datadog reviews. Integrate AI and/or machine learning capabilities to identify and address potential and active failures and errors. | 78% (Based on 28 reviews) | |
Synthetic Monitoring | As reported in 89 Datadog reviews. Monitors and test apps to address issues before they affect end users. | 84% (Based on 89 reviews) | |
Dynamic Transaction Mapping | Based on 81 Datadog reviews. Provides dynamic end-to-end maps of every single transaction. | 80% (Based on 81 reviews) | |
Cloud Observability | Monitors cloud microservices, containers, kubernetes, and other cloud native software. 95 reviewers of Datadog have provided feedback on this feature. | 85% (Based on 95 reviews) |
Monitoring
Usage Monitoring | Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste. This feature was mentioned in 108 Datadog reviews. | 89% (Based on 108 reviews) | |
Database Monitoring | Based on 104 Datadog reviews. Monitors performance and statistics related to memory, caches and connections. | 86% (Based on 104 reviews) | |
API Monitoring | Based on 99 Datadog reviews. Detects anomalies in functionality, user accessibility, traffic flows, and tampering. | 88% (Based on 99 reviews) | |
Real-Time Monitoring - Cloud Infrastructure Monitoring | Constantly monitors system to detect anomalies in real time. 118 reviewers of Datadog have provided feedback on this feature. | 87% (Based on 118 reviews) | |
Device Status | Observe the general health and status of connected devices. | Not enough data | |
Alerts & Notifications | Receive timely notifications about system issues or abnormalities. | Not enough data | |
Analytics | Collect data related to device processes and conditions. | Not enough data | |
Performance Baselines | 97 reviewers of Datadog have provided feedback on this feature. | 85% (Based on 97 reviews) | |
Performance Analysis | As reported in 89 Datadog reviews. | 89% (Based on 89 reviews) | |
Performance Monitoring | 99 reviewers of Datadog have provided feedback on this feature. | 89% (Based on 99 reviews) | |
AI/ML Assistance | Based on 84 Datadog reviews. | 73% (Based on 84 reviews) | |
Multi-System Monitoring | Based on 90 Datadog reviews. | 84% (Based on 90 reviews) | |
Resource utilization | Based on 31 Datadog reviews. Optimizes resource allocation. | 87% (Based on 31 reviews) | |
Real-time monitoring | Consistently monitors processes for applications and IT infrastructure to detect anomalies in real-time. 34 reviewers of Datadog have provided feedback on this feature. | 92% (Based on 34 reviews) | |
Performance baseline | Sets up standard performance baseline to compare live container activities. This feature was mentioned in 36 Datadog reviews. | 87% (Based on 36 reviews) | |
API monitoring | Traces connections between different containerized environments and detects anomalies in functionality, user accessibility, traffic flows, and tampering. This feature was mentioned in 31 Datadog reviews. | 92% (Based on 31 reviews) |
Analysis
Reporting | Creates reports outlining resource, underutilization, cost trends, and/or functional overlap. 102 reviewers of Datadog have provided feedback on this feature. | 85% (Based on 102 reviews) | |
Dashboards and Visualizations | As reported in 106 Datadog reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way. | 88% (Based on 106 reviews) | |
Track Trends | Based on 49 Datadog reviews and verified by the G2 Product R&D team. Allows user to track log trends. | 85% (Based on 49 reviews) | |
Detect Anomalies | Based on 56 Datadog reviews and verified by the G2 Product R&D team. Identify and predict anomalies in real-time with outlier detection and uncover root-causes | 84% (Based on 56 reviews) | |
Metric and Event Data | Based on 57 Datadog reviews and verified by the G2 Product R&D team. Analyze both metric and event data on the same platform regardless of source or structure | 87% (Based on 57 reviews) | |
Search | Based on 60 Datadog reviews and verified by the G2 Product R&D team. Search your logs for troubleshooting and open-ended exploration of your data | 86% (Based on 60 reviews) | |
Alerts | Based on 50 Datadog reviews and verified by the G2 Product R&D team. Create alerts based on search patterns, thresholds for specific log metrics, or other conditions | 88% (Based on 50 reviews) | |
Live Tail | Based on 48 Datadog reviews and verified by the G2 Product R&D team. See your data, in real time, streaming into the system from multiple data sources | 87% (Based on 48 reviews) | |
Search | Allows users to search logs for troubleshooting and open-ended exploration of data. 34 reviewers of Datadog have provided feedback on this feature. | 82% (Based on 34 reviews) | |
Reporting | Creates reports outlining resource, underutilization, cost trends, and/or functional overlap. 37 reviewers of Datadog have provided feedback on this feature. | 84% (Based on 37 reviews) | |
Visualization | As reported in 36 Datadog reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way. | 93% (Based on 36 reviews) | |
Track trends | As reported in 35 Datadog reviews. Allows users to track log trends. | 85% (Based on 35 reviews) |
Automation
Artificial Intelligence & Machine Learning | Facilitates Artificial Intelligence (AI) or Machine Learning (ML) to enable data ingestion, performance suggestions, and traffic analysis. | Not enough data | |
Continuous Analysis | Constantly monitors traffic and activity. Detects anomalies in functionality, user accessibility, traffic flows, and tampering. | Not enough data | |
Resolution automation | As reported in 31 Datadog reviews. Diagnoses and resolves incidents without the need for human interaction. | 85% (Based on 31 reviews) | |
Automation | Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. 29 reviewers of Datadog have provided feedback on this feature. | 86% (Based on 29 reviews) |
Issue Resolution
Root Cause Identification | Based on 17 Datadog reviews. Directly identifies, or increases identification speed for, root causes for IT system issues. | 91% (Based on 17 reviews) | |
Proactive Identification | Based on 14 Datadog reviews. Proactively identifies trends on IT systems that could lead to failures or errors. | 92% (Based on 14 reviews) | |
Root cause identification | Based on 30 Datadog reviews. Directly identifies, or increases identification speed for, root causes for container issues. | 84% (Based on 30 reviews) | |
Resolution guidance | Based on 33 Datadog reviews. Provides paths, suggestions, or other general assistance towards issue resolution. | 77% (Based on 33 reviews) | |
Proactive identification | Proactively identifies trends on container systems that could lead to failures or errors. 28 reviewers of Datadog have provided feedback on this feature. | 86% (Based on 28 reviews) |
Visibility
Dashboards and Visualizations | Based on 77 Datadog reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way. | 88% (Based on 77 reviews) | |
Alerts and Notifications | Clearly notifies users with relevant information and anomalies in a timely manner. 76 reviewers of Datadog have provided feedback on this feature. | 90% (Based on 76 reviews) | |
Reporting | Creates reports outlining log activity and relevant metrics. 70 reviewers of Datadog have provided feedback on this feature. | 88% (Based on 70 reviews) |
Monitoring and Management
Automation | Automatically allocates resources to address log anomalies. This feature was mentioned in 72 Datadog reviews. | 82% (Based on 72 reviews) | |
Performance Baseline | Sets a standard performance baseline by which to compare log activity. 74 reviewers of Datadog have provided feedback on this feature. | 86% (Based on 74 reviews) | |
Real-Time Monitoring | Constantly monitors logs to detect anomalies in real time. This feature was mentioned in 78 Datadog reviews. | 90% (Based on 78 reviews) | |
Multi-Server Management | Allows users to track and control resource spend and loads across multiple servers. This feature was mentioned in 61 Datadog reviews. | 85% (Based on 61 reviews) | |
Automation | Automatically allocates resources to optimize loads across servers. 56 reviewers of Datadog have provided feedback on this feature. | 76% (Based on 56 reviews) | |
Performance Baseline | Sets a standard performance baseline by which to compare live server activity. 58 reviewers of Datadog have provided feedback on this feature. | 83% (Based on 58 reviews) | |
Real-Time Monitoring | As reported in 61 Datadog reviews. Constantly monitors server to detect anomalies in real time. | 90% (Based on 61 reviews) | |
Immediate Alert Notification | Ability of the monitoring software to immediately alert the user in case of any issue. 57 reviewers of Datadog have provided feedback on this feature. | 88% (Based on 57 reviews) | |
Proactive Server Monitoring Software | Deploys remedial actions proactively. If this measure fails, then the user is alerted. 62 reviewers of Datadog have provided feedback on this feature. | 82% (Based on 62 reviews) |
Visibility
Dashboards and Visualizations | Based on 68 Datadog reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way. | 88% (Based on 68 reviews) | |
Alerts and Notifications | Clearly notifies team members with relevant information and anomalies in a timely manner. 62 reviewers of Datadog have provided feedback on this feature. | 86% (Based on 62 reviews) | |
Reporting | Based on 60 Datadog reviews. Creates reports outlining load distribution, performance and other relevant metrics. | 81% (Based on 60 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 |
Device Recognition
Device Discovery | Automatically discovers available devices in the local network. | Not enough data | |
Device Types | Recognizes a variety of sensor and device types. | Not enough data | |
Dashboard | Has a centralized dashboard of connected devices for users to interact with. | Not enough data |
Provisioning
Remote Configuration | Modify device or sensor settings from anywhere. | Not enough data | |
Event Triggering | Allows for remote execution of device actions and events. | Not enough data |
Data Preparation
Data Sources | Based on 54 Datadog reviews and verified by the G2 Product R&D team. Automatically collect logs from all your services, applications, and platforms | 85% (Based on 54 reviews) | |
Indexing | Based on 53 Datadog reviews and verified by the G2 Product R&D team. Automate the indexing of machine data that's critical to your operations | 85% (Based on 53 reviews) | |
Automated Tagging | Based on 51 Datadog reviews and verified by the G2 Product R&D team. See log data in context with automated tagging and correlation | 80% (Based on 51 reviews) | |
Data Blending | Based on 51 Datadog reviews and verified by the G2 Product R&D team. Mix and match data from apps, hosts, containers, services, networks, and more | 78% (Based on 51 reviews) |
Visualization
Dashboards | Based on 62 Datadog reviews and verified by the G2 Product R&D team. Visualize log data on dashboards | 89% (Based on 62 reviews) | |
Data Discovery | Based on 52 Datadog reviews and verified by the G2 Product R&D team. Drill down and explore data to discover new insights | 88% (Based on 52 reviews) |
Performance
Real User Monitoring (RUM) | Captures and analyzes each transaction by users of a website or application in real time. This feature was mentioned in 101 Datadog reviews. | 85% (Based on 101 reviews) | |
Second by Second Metrics | Based on 87 Datadog reviews. Provides high-frequency metrics data. | 83% (Based on 87 reviews) |
Cloud environment support
Server Monitoring For Cloud Deployments | Based on 54 Datadog reviews. Supports public, hybrid and private cloud environments. | 81% (Based on 54 reviews) | |
Software Scaling | As reported in 51 Datadog reviews. Software can scale as the enterprises adds more servers to their portfolio virtually. | 80% (Based on 51 reviews) |
Alerts management
Multi-mode alerts | Alerts over email, text, phone call, or more to multiple parties. 36 reviewers of Datadog have provided feedback on this feature. | 87% (Based on 36 reviews) | |
Opimization alerts | Provides information related to unnecessary spending and unused resources. This feature was mentioned in 38 Datadog reviews. | 80% (Based on 38 reviews) | |
Incident alerts | As reported in 40 Datadog reviews. Gives alerts when incidents arise. | 86% (Based on 40 reviews) |
Data Management - Observability Pipeline
Data Storage | Ensure data is stored and searchable | Not enough data | |
Data Optimization and Reduction | Trim unnecessary data from logs | Not enough data | |
Data Migration | Migrate logs from any origin to any destination | Not enough data | |
Log Context Enrichment | Add context to log data for better analysis | Not enough data | |
Data Format Transformation | Transform data into different formats | Not enough data |
Performance - Observability Pipeline
Cost Reduction | Save money on data ingest and reduce storage and compute costs | Not enough data | |
Pipeline Visualization | Create a map for all data pipeline | Not enough data | |
Platform Agnostic Integration | Integrate with mainstream data, monitoring, and security platforms | Not enough data |
AI - Observability Pipeline
Root Cause Analysis | Pinpoint source of the problems from observability data | Not enough data | |
Alert Fatigue Reduction | Enable sentiment-based classification of alerts | Not enough data | |
Anomaly Detection | Learn what is normal for any given data type | Not enough data |
Compliance - Observability Pipeline
Compliance Maintenance | Maintain GDPR, PCI DSS certifications, SOC1 & SOC2 compliance | Not enough data | |
Sensitive Data Detection | Find and mask PII in the stream | Not enough data |
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 |
