Splunk
E426145
cybersecurity company
data analytics platform
log management platform
observability platform
software company
Splunk is a data analytics platform that specializes in collecting, indexing, and analyzing machine-generated data for monitoring, security, and operational intelligence.
All labels observed (11)
| Label | Occurrences |
|---|---|
| Splunk canonical | 4 |
| SPLK | 1 |
| Splunk APM | 1 |
| Splunk Cloud Platform | 1 |
| Splunk Enterprise | 1 |
| Splunk Enterprise Security | 1 |
| Splunk IT Service Intelligence | 1 |
| Splunk Infrastructure Monitoring | 1 |
| Splunk Log Observer | 1 |
| Splunk Observability Cloud | 1 |
| Splunk SOAR | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4280011 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Splunk Context triple: [Amazon Kinesis Data Firehose, integratesWith, Splunk]
-
A.
Sumo Logic
Sumo Logic is a cloud-native machine data analytics and log management platform that helps organizations monitor, troubleshoot, and secure their applications and infrastructure in real time.
-
B.
New Relic
New Relic is a software analytics and application performance monitoring company that provides tools for tracking and optimizing the performance of web and mobile applications.
-
C.
SolarWinds
SolarWinds is an American software company best known for its IT infrastructure management tools and for being at the center of a major 2020 supply-chain cyberattack.
-
D.
Looker
Looker is a modern business intelligence and data analytics platform that enables organizations to explore, visualize, and share insights from their data.
-
E.
AppDynamics
AppDynamics is an application performance monitoring and observability company that provides tools to track, analyze, and optimize the performance of software applications and IT infrastructure.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Splunk Target entity description: Splunk is a data analytics platform that specializes in collecting, indexing, and analyzing machine-generated data for monitoring, security, and operational intelligence.
-
A.
Sumo Logic
Sumo Logic is a cloud-native machine data analytics and log management platform that helps organizations monitor, troubleshoot, and secure their applications and infrastructure in real time.
-
B.
New Relic
New Relic is a software analytics and application performance monitoring company that provides tools for tracking and optimizing the performance of web and mobile applications.
-
C.
SolarWinds
SolarWinds is an American software company best known for its IT infrastructure management tools and for being at the center of a major 2020 supply-chain cyberattack.
-
D.
Looker
Looker is a modern business intelligence and data analytics platform that enables organizations to explore, visualize, and share insights from their data.
-
E.
AppDynamics
AppDynamics is an application performance monitoring and observability company that provides tools to track, analyze, and optimize the performance of software applications and IT infrastructure.
- F. None of above. chosen
Statements (71)
| Predicate | Object |
|---|---|
| instanceOf |
cybersecurity company
ⓘ
data analytics platform ⓘ log management platform ⓘ observability platform ⓘ software company ⓘ |
| abbreviation | SPL ⓘ |
| acquiredBy | Cisco Systems ⓘ |
| acquisitionAnnouncementDate | 2023-09 ⓘ |
| coreFunction |
alerting
ⓘ
correlation of events ⓘ data collection ⓘ data indexing ⓘ data search ⓘ data visualization ⓘ reporting ⓘ |
| countryOfOrigin |
United States
ⓘ
linked to:
United States of America
|
| deploymentModel |
on-premises
ⓘ
software as a service ⓘ |
| founder |
Erik Swan
ⓘ
Michael Baum ⓘ Rob Das ⓘ |
| foundingDate | 2003 ⓘ |
| hasComponent |
deployment server
ⓘ
forwarder ⓘ indexer ⓘ search head ⓘ |
| hasFeature |
REST API
ⓘ
apps and add-ons marketplace ⓘ dashboards ⓘ data forwarding ⓘ data retention policies ⓘ real-time search ⓘ role-based access control ⓘ saved searches ⓘ |
| headquartersLocation | San Francisco, California, United States ⓘ |
| industry |
cybersecurity
ⓘ
data analytics ⓘ information technology ⓘ software ⓘ |
| product |
Splunk APM
ⓘ
linked to:
Splunk
Splunk Cloud Platform ⓘ
linked to:
Splunk
Splunk Enterprise ⓘ
linked to:
Splunk
Splunk Enterprise Security ⓘ
linked to:
Splunk
Splunk IT Service Intelligence ⓘ
linked to:
Splunk
Splunk Infrastructure Monitoring ⓘ
linked to:
Splunk
Splunk Log Observer ⓘ
linked to:
Splunk
Splunk Observability Cloud ⓘ
linked to:
Splunk
Splunk On-Call ⓘ
linked to:
Opsgenie
Splunk Phantom ⓘ Splunk SOAR ⓘ
linked to:
Splunk
|
| programmingLanguage | Search Processing Language ⓘ |
| specializesIn |
IT operations analytics
ⓘ
application performance monitoring ⓘ infrastructure monitoring ⓘ log data analysis ⓘ machine-generated data ⓘ observability ⓘ security analytics ⓘ security information and event management ⓘ |
| supportsDataType |
events
ⓘ
logs ⓘ metrics ⓘ traces ⓘ |
| tickerSymbol |
SPLK
ⓘ
linked to:
Splunk
|
| tradedOn | NASDAQ ⓘ |
| typicalUseCase |
IT operations monitoring
ⓘ
application monitoring ⓘ business analytics ⓘ incident response ⓘ security monitoring ⓘ threat detection ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Splunk Description of subject: Splunk is a data analytics platform that specializes in collecting, indexing, and analyzing machine-generated data for monitoring, security, and operational intelligence.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.