Splunk Enterprise Features

Network Management (3)

Activity Monitoring: Documents the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point. This feature was mentioned in 27 Splunk Enterprise reviews.
Asset Management: Based on 23 Splunk Enterprise reviews. Keeps records of each network asset and its activity. Discovers new assets accessing the network.
Log Management: Based on 26 Splunk Enterprise reviews. Provides security information and stores the data in a secure repository for reference.

Incident Management (3)

Event Management: Based on 27 Splunk Enterprise reviews. Alerts users of incidents and allows users to intervene manually or triggers an automated response.
Automated Response: Reduces time spent remedying issues manually. Resolves common network security incidents quickly. This feature was mentioned in 26 Splunk Enterprise reviews.
Incident Reporting: Documents cases of abnormal activity and compromised systems. This feature was mentioned in 26 Splunk Enterprise reviews.

Security Intelligence (4)

Threat Intelligence: As reported in 24 Splunk Enterprise reviews. Stores information related to common threats and how to resolve them once incidents occur.
Vulnerability Assessment: Analyzes your existing network and IT infrastructure to outline access points that can be easily compromised. 22 reviewers of Splunk Enterprise have provided feedback on this feature.
Advanced Analytics: Allows users to customize analytics with granulized metrics that are pertinent to your specific resources. 24 reviewers of Splunk Enterprise have provided feedback on this feature.
Data Examination: As reported in 24 Splunk Enterprise reviews. Allows users to search databases and incident logs to gain insights on vulnerabilities and incidents.

Data Sourcing (4)

Intelligence (3)

Functionality (7)

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. This feature was mentioned in 12 Splunk Enterprise reviews.
Diverse Systems Monitoring: Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks. 62 reviewers of Splunk Enterprise have provided feedback on this feature.
Real-Time Analytics: Generate real-time high-level and/or in-depth analytics regarding monitored systems activity. This feature was mentioned in 63 Splunk Enterprise reviews.
Observability: Generate insights into IT systems utilizing event metrics, logging, traces, and metadata. This feature was mentioned in 62 Splunk Enterprise reviews.
AI/ML Integration: As reported in 54 Splunk Enterprise reviews. Integrate AI and/or machine learning capabilities to identify and address potential and active failures and errors.

Issue Resolution (3)

Root Cause Identification: As reported in 11 Splunk Enterprise reviews. Directly identifies, or increases identification speed for, root causes for IT system issues.
Proactive Identification: Based on 10 Splunk Enterprise reviews. 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. 10 reviewers of Splunk Enterprise have provided feedback on this feature.

Management (7)

System Integration: Integrates with a variety of IT systems. 10 reviewers of Splunk Enterprise have provided feedback on this feature.
Alerting: Automatically alerts necessary parties via email, text, or call when issues are identified. This feature was mentioned in 12 Splunk Enterprise reviews.
Reporting: As reported in 12 Splunk Enterprise reviews. Generate sreports and dashboards highlighting trends and key metrics around issues and issue resolution.
Single Pane of Glass: Based on 55 Splunk Enterprise reviews. Consolidate IT systems monitoring overviews to a single pane for quick insights.
Dashboards and Visualization: As reported in 61 Splunk Enterprise reviews. Offer pre-built and custom reporting and dashboards for quick insights into system states.
Performance Baselines: Based on 61 Splunk Enterprise reviews. Set expected baselines for system functions.
Alerting: As reported in 61 Splunk Enterprise reviews. Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors.

Visibility (3)

Dashboards and Visualizations: Presents information and analytics in a digestible, intuitive, and visually appealing way. This feature was mentioned in 19 Splunk Enterprise reviews.
Alerts and Notifications: Based on 20 Splunk Enterprise reviews. Clearly notifies users with relevant information and anomalies in a timely manner.
Reporting: Based on 20 Splunk Enterprise reviews. Creates reports outlining performance and other relevant metrics.

Monitoring and Management (4)

Multi-Device Management: Based on 17 Splunk Enterprise reviews. Allows users to track and control resource allocation across multiple devices.
Automation: Automatically allocates resources to optimize loads across devices. This feature was mentioned in 15 Splunk Enterprise reviews.
Performance Baseline: Sets a standard performance baseline by which to compare live hardware metrics. 19 reviewers of Splunk Enterprise have provided feedback on this feature.
Real-Time Monitoring: Constantly monitors hardware to detect anomalies in real time. 20 reviewers of Splunk Enterprise have provided feedback on this feature.

ServiceNow Apps (2)

Data Preparation (4)

Data Sources: Based on 67 Splunk Enterprise reviews and verified by the G2 Product R&D team. Automatically collect logs from all your services, applications, and platforms
Indexing: Based on 66 Splunk Enterprise reviews and verified by the G2 Product R&D team. Automate the indexing of machine data that's critical to your operations
Automated Tagging: Based on 61 Splunk Enterprise reviews and verified by the G2 Product R&D team. See log data in context with automated tagging and correlation
Data Blending: Based on 61 Splunk Enterprise reviews and verified by the G2 Product R&D team. Mix and match data from apps, hosts, containers, services, networks, and more

Analysis (6)

Track Trends: Based on 60 Splunk Enterprise reviews and verified by the G2 Product R&D team. Allows user to track log trends.
Detect Anomalies: Based on 61 Splunk Enterprise reviews and verified by the G2 Product R&D team. Identify and predict anomalies in real-time with outlier detection and uncover root-causes
Metric and Event Data: Based on 62 Splunk Enterprise 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
Search: Based on 65 Splunk Enterprise reviews and verified by the G2 Product R&D team. Search your logs for troubleshooting and open-ended exploration of your data
Alerts: Based on 62 Splunk Enterprise reviews and verified by the G2 Product R&D team. Create alerts based on search patterns, thresholds for specific log metrics, or other conditions
Live Tail: Based on 53 Splunk Enterprise reviews and verified by the G2 Product R&D team. See your data, in real time, streaming into the system from multiple data sources

Visualization (2)

Generative AI (2)

Agentic AI - Security Information and Event Management (SIEM) (4)

Agentic AI - ServiceNow Store Apps (4)

Agentic AI - Log Analysis (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

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

Agentic AI - Hardware Monitoring (4)

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