Grafana
E699843
Grafana is an open-source analytics and visualization platform used to create interactive dashboards and monitor metrics from various data sources.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Grafana canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T7939717 — 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: Grafana Context triple: [Prometheus, integratesWith, Grafana]
-
A.
Datadog
Datadog is a cloud-based monitoring and security platform that provides observability into applications, infrastructure, logs, and metrics for modern DevOps and IT teams.
-
B.
Looker
Looker is a modern business intelligence and data analytics platform that enables organizations to explore, visualize, and share insights from their data.
-
C.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
-
D.
Tableau
Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
-
E.
Aqua Data Studio
Aqua Data Studio is a database management and development environment that provides tools for querying, visualizing, and administering a wide range of relational and NoSQL databases.
- 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: Grafana Target entity description: Grafana is an open-source analytics and visualization platform used to create interactive dashboards and monitor metrics from various data sources.
-
A.
Datadog
Datadog is a cloud-based monitoring and security platform that provides observability into applications, infrastructure, logs, and metrics for modern DevOps and IT teams.
-
B.
Looker
Looker is a modern business intelligence and data analytics platform that enables organizations to explore, visualize, and share insights from their data.
-
C.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
-
D.
Tableau
Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
-
E.
Aqua Data Studio
Aqua Data Studio is a database management and development environment that provides tools for querying, visualizing, and administering a wide range of relational and NoSQL databases.
- F. None of above. chosen
Statements (78)
| Predicate | Object |
|---|---|
| instanceOf |
data visualization software
ⓘ
monitoring tool ⓘ |
| cloudServiceName | Grafana Cloud NERFINISHED ⓘ |
| developer | Grafana Labs NERFINISHED ⓘ |
| feature |
alert notification channels
ⓘ
alert rules ⓘ alerting ⓘ annotations ⓘ dashboard creation ⓘ explore view ⓘ panel editor ⓘ plugin system ⓘ role-based access control ⓘ templating ⓘ user management ⓘ |
| hasEdition |
Grafana Enterprise
NERFINISHED
ⓘ
Grafana Enterprise Stack NERFINISHED ⓘ Grafana OSS NERFINISHED ⓘ |
| initialReleaseDate | 2014 ⓘ |
| license | AGPL-3.0-only ⓘ |
| partOf | Grafana LGTM stack ⓘ |
| programmingLanguage |
Go
NERFINISHED
ⓘ
JavaScript ⓘ TypeScript NERFINISHED ⓘ |
| relatedSoftware |
Loki
NERFINISHED
ⓘ
Mimir NERFINISHED ⓘ Tempo NERFINISHED ⓘ |
| repository | https://github.com/grafana/grafana ⓘ |
| sourceModel | open source ⓘ |
| supportsAlertDestination |
Email
ⓘ
PagerDuty NERFINISHED ⓘ Slack NERFINISHED ⓘ Webhook ⓘ |
| supportsAuthentication |
LDAP
NERFINISHED
ⓘ
OAuth NERFINISHED ⓘ SAML NERFINISHED ⓘ basic authentication ⓘ |
| supportsContainerization | Docker NERFINISHED ⓘ |
| supportsDataSource |
Azure Monitor
NERFINISHED
ⓘ
CloudWatch NERFINISHED ⓘ Elasticsearch NERFINISHED ⓘ Google Cloud Monitoring NERFINISHED ⓘ Graphite NERFINISHED ⓘ InfluxDB NERFINISHED ⓘ Jaeger NERFINISHED ⓘ Loki NERFINISHED ⓘ MySQL NERFINISHED ⓘ OpenTSDB NERFINISHED ⓘ PostgreSQL NERFINISHED ⓘ Prometheus NERFINISHED ⓘ Tempo NERFINISHED ⓘ Zipkin NERFINISHED ⓘ |
| supportsDeploymentModel |
cloud
ⓘ
self-hosted ⓘ |
| supportsOperatingSystem |
Linux
ⓘ
Windows NERFINISHED ⓘ macOS NERFINISHED ⓘ |
| supportsOrchestration | Kubernetes NERFINISHED ⓘ |
| supportsStandard |
Elasticsearch Query DSL
NERFINISHED
ⓘ
Loki query language ⓘ PromQL NERFINISHED ⓘ SQL NERFINISHED ⓘ |
| supportsVisualizationType |
bar chart
ⓘ
gauge ⓘ heatmap ⓘ pie chart ⓘ stat panel ⓘ table ⓘ time series ⓘ |
| usedFor |
application performance monitoring
ⓘ
business analytics ⓘ infrastructure monitoring ⓘ log analysis ⓘ metrics monitoring ⓘ |
| website | https://grafana.com ⓘ |
| writtenIn |
Go
ⓘ
JavaScript ⓘ TypeScript NERFINISHED ⓘ |
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: Grafana Description of subject: Grafana is an open-source analytics and visualization platform used to create interactive dashboards and monitor metrics from various data sources.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.