[
Splunk ... Reviews
](https://www.g2.com/products/splunk-enterprise/reviews)

[
Splunk ... Reviews
](https://www.g2.com/products/splunk-enterprise/reviews)

# Splunk Enterprise Features

##### 
## Reports (5)

Reports Interface

Reports interface for standard and self-service reports is intuitive and easy to use.

Steps to Answer

Requires a minimal number of steps/clicks to answer business question.

Graphs and Charts

Offers a variety of attractive graph and chart formats.

Score Cards

Score cards visually track KPI's.

Dashboards

Provides business users an interface to easily design, refine and collaborate on their dashboards

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##### 
## Self Service (6)

Calculated Fields

Using formulas based on existing data elements, users can create and calculate new field values.

Data Column Filtering

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Data Discovery

Users can drill down and explore data to discover new insights.

Search

Ability to search global data set to find and discover data.

Collaboration / Workflow

Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.

Automodeling

Tool automatically suggests data types, schemas and hierarchies.

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##### 
## Advanced Analytics (3)

Predictive Analytics

Analyze current and historical trends to make predictions about future events.

Data Visualization

Communicate complex information clearly and effectively through advanced graphical techniques.

Big Data Services

Ability to handle large, complex, and/or siloed data sets.

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##### 
## Building Reports (4)

Data Transformation

Converts data formats of source data into the format required for the reporting system without mistakes.

Data Modeling

Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

WYSIWYG Report Design

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

Integration APIs

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.

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##### 
## 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.

Asset Management

Keeps records of each network asset and its activity. Discovers new assets accessing the network.

Log Management

Provides security information and stores the data in a secure repository for reference.

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##### 
## Incident Management (3)

Event Management

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.

Incident Reporting

Documents cases of abnormal activity and compromised systems.

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##### 
## Security Intelligence (4)

Threat Intelligence

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.

Advanced Analytics

Allows users to customize analytics with granulized metrics that are pertinent to your specific resources.

Data Examination

Allows users to search databases and incident logs to gain insights on vulnerabilities and incidents.

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##### 
## Data Transformation (2)

Real-Time Analytics

Facilitates analysis of high-volume, real-time data.

Data Querying

Allows user to query data through query languages like SQL.

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##### 
## Connectivity (3)

Hadoop Integration

Aligns processing and distribution workflows on top of Apache Hadoop

Spark Integration

Aligns processing and distribution workflows on top of Apache Spark

Multi-Source Analysis

Integrates data from multiple external databases.

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##### 
## Operations (3)

Data Visualization

Processes data and represents interpretations in a variety of graphic formats.

Data Workflow

Strings together specific functions and datasets to automate analytics iterations.

Notebooks

Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

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##### 
## Data Sourcing (4)

Data Enrichment

Uses external data sources to improve customer profiles.

Expandability

Can be updated to accept new sources and types of data.

Content Marketing

Can act as a content marketing platform.

Multiple Devices

Can engage with customers across any device with a consistent message.

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##### 
## Intelligence (3)

Marketing Metrics

Provides analysis of marketing program ROI and efficiency.

Predictive Modeling

Predicts outcomes based on statistical models; can give insight to "what-if" scenarios.

Recommendation Engine

Uses artificial intelligence to provide suggestions based on desired outcomes.

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##### 
## 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.

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.

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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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##### 
## Management (7)

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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##### 
## Visibility (6)

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.

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 log activity and relevant metrics.

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##### 
## Monitoring and Management (7)

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.

Automation

Automatically allocates resources to address log anomalies.

Performance Baseline

Sets a standard performance baseline by which to compare log activity.

Real-Time Monitoring

Constantly monitors logs to detect anomalies in real time.

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##### 
## Data Preparation (6)

Connectors

Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.

Data Governance

Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data

Data Sources

Automatically collect logs from all your services, applications, and platforms

Indexing

Automate the indexing of machine data that's critical to your operations

Automated Tagging

See log data in context with automated tagging and correlation

Data Blending

Mix and match data from apps, hosts, containers, services, networks, and more

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##### 
## Data Modeling and Blending (3)

Data Querying

Using formulas based on existing data elements, users can create and calculate new field values

Data Filtering

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Data Blending

Allows the user to combine data from multiple sources into a functioning dataset.

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##### 
## ServiceNow Apps (2)

ServiceNow Integration

How satisfied are you with this app/integration in the ServiceNow ecosystem?

Value

How valuable is it to be able to use this product with ServiceNow?

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##### 
## Analysis (6)

Track Trends

Allows user to track log trends.

Detect Anomalies

Identify and predict anomalies in real-time with outlier detection and uncover root-causes

Metric and Event Data

Analyze both metric and event data on the same platform regardless of source or structure

Search

Search your logs for troubleshooting and open-ended exploration of your data

Alerts

Create alerts based on search patterns, thresholds for specific log metrics, or other conditions

Live Tail

See your data, in real time, streaming into the system from multiple data sources

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##### 
## Visualization (2)

Dashboards

Visualize log data on dashboards

Data Discovery

Drill down and explore data to discover new insights

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##### 
## Generative AI (4)

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.

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

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

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 - ServiceNow Store Apps (4)

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

Proactive Assistance

Anticipates needs and offers suggestions without prompting

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##### 
## Agentic AI - Analytics 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 - 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

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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 - Log 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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##### 
## Deployment & Integration - Analytics Platforms (4)

No-code Dashboard Builder

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces

Report Scheduling and Automation

Enables automated report generation and scheduled delivery to stakeholders

Embedded Analytics and White-labeling

Allows dashboards and analytics to be embedded into external apps with branding flexibility

Data Source Connectivity

Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

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##### 
## Performance & Scalability - Analytics Platforms (2)

Large data handling and Query Speed

Efficiently processes large datasets with minimal lag and ensures high performance under load

Concurrent User Support

Maintains performance and uptime during high traffic from multiple users or teams

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##### 
## Advanced Analytics & Modeling - Analytics Platforms (3)

Data Modeling and Governance

Supports semantic data layers, role-based access controls, and metadata governance

Notebook and Script Integration

Integrates with Jupyter, Python, or R for custom analytics and modeling

Built-in Predictive and Statistical Models

Provides native tools for statistical analysis, forecasting, and trend prediction

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##### 
## Agentic AI Capabilities - Analytics Platforms (4)

Auto-generated Insights and Narratives

Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

Natural Language Queries

Allows users to query data and build reports using conversational or plain language

Proactive KPI Monitoring and Alerts

Detects and notifies users about KPI anomalies or significant metric changes in real time

AI Agents for Analytical Follow-ups

Recommends next questions, analyses, or exploration paths using autonomous AI agents

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##### 
## Personalized Intelligence - Analytics Platforms (3)

Behavioral Learning for Contextual Query Refinement

Learns from historical user interactions to improve and personalize query results over time

Role-based Insight Personalization

Tailors dashboard views and suggestions based on user roles, access levels, and past behavior

Conversational and Prompt-based Analytics

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying

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##### Categories on G2

[
Analytics Platforms
](https://www.g2.com/categories/analytics-platforms)[
Customer Data Platform (CDP)
](https://www.g2.com/categories/customer-data-platform-cdp)[
ServiceNow Store Apps
](https://www.g2.com/categories/servicenow-store-apps)

[
AIOps Platforms
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Log Monitoring
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Log Analysis
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Enterprise Monitoring
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Big Data Analytics
](https://www.g2.com/categories/big-data-analytics)[
Security Information and Event Management (SIEM)
](https://www.g2.com/categories/security-information-and-event-management-siem)[
Hardware Monitoring
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