Splunk Enterprise Features

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

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

Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's.

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

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

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

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

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

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

Tool automatically suggests data types, schemas and hierarchies.

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

Communicate complex information clearly and effectively through advanced graphical techniques.

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

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

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

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

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.

Documents the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point.

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

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

Alerts users of incidents and allows users to intervene manually or triggers an automated response.

Reduces time spent remedying issues manually. Resolves common network security incidents quickly.

Documents cases of abnormal activity and compromised systems.

Stores information related to common threats and how to resolve them once incidents occur.

Analyzes your existing network and IT infrastructure to outline access points that can be easily compromised.

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

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

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

Allows user to query data through query languages like SQL.

Aligns processing and distribution workflows on top of Apache Hadoop

Aligns processing and distribution workflows on top of Apache Spark

Integrates data from multiple external databases.

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

Strings together specific functions and datasets to automate analytics iterations.

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

Uses external data sources to improve customer profiles.

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

Can act as a content marketing platform.

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

Provides analysis of marketing program ROI and efficiency.

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

Uses artificial intelligence to provide suggestions based on desired outcomes.

Utilizes artificial intelligence to analyze big data.

Utilizes machine learning to analyze big data.

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

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

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

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

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

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

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

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

Integrates with a variety of IT systems.

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

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

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

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

Set expected baselines for system functions.

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

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

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

Creates reports outlining performance and other relevant metrics.

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

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

Creates reports outlining log activity and relevant metrics.

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

Automatically allocates resources to optimize loads across devices.

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

Constantly monitors hardware to detect anomalies in real time.

Automatically allocates resources to address log anomalies.

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

Constantly monitors logs to detect anomalies in real time.

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

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

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

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

See log data in context with automated tagging and correlation

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

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

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

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

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

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

Allows user to track log trends.

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

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

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

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

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

Visualize log data on dashboards

Drill down and explore data to discover new insights

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

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

Enables automated report generation and scheduled delivery to stakeholders

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

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

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

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

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

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

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

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

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

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

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

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

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

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