OpenStack Sahara
E699763
OpenStack Sahara is the data processing service within the OpenStack ecosystem that simplifies deploying and managing big data frameworks like Hadoop and Spark on cloud infrastructure.
All labels observed (1)
| Label | Occurrences |
|---|---|
| OpenStack Sahara canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7938275 — 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: OpenStack Sahara Context triple: [OpenStack Horizon, supportsComponent, OpenStack Sahara]
-
A.
OpenStack
OpenStack is an open-source cloud computing platform that provides a suite of software tools for building and managing public and private clouds.
-
B.
Red Hat OpenStack Platform
Red Hat OpenStack Platform is Red Hat’s enterprise-grade cloud infrastructure solution built on the OpenStack project, used to deploy and manage scalable private and hybrid clouds.
-
C.
OpenStack Nova
OpenStack Nova is the compute service of the OpenStack cloud platform, responsible for provisioning and managing virtual machine instances and related resources.
-
D.
OpenStack Heat
OpenStack Heat is the orchestration component of the OpenStack cloud platform that enables users to define and manage infrastructure resources using templates.
-
E.
OpenStack Ceilometer
OpenStack Ceilometer is the telemetry and metering service in the OpenStack ecosystem that collects, normalizes, and stores usage and performance data for monitoring, billing, and autoscaling purposes.
- 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: OpenStack Sahara Target entity description: OpenStack Sahara is the data processing service within the OpenStack ecosystem that simplifies deploying and managing big data frameworks like Hadoop and Spark on cloud infrastructure.
-
A.
OpenStack
OpenStack is an open-source cloud computing platform that provides a suite of software tools for building and managing public and private clouds.
-
B.
Red Hat OpenStack Platform
Red Hat OpenStack Platform is Red Hat’s enterprise-grade cloud infrastructure solution built on the OpenStack project, used to deploy and manage scalable private and hybrid clouds.
-
C.
OpenStack Nova
OpenStack Nova is the compute service of the OpenStack cloud platform, responsible for provisioning and managing virtual machine instances and related resources.
-
D.
OpenStack Heat
OpenStack Heat is the orchestration component of the OpenStack cloud platform that enables users to define and manage infrastructure resources using templates.
-
E.
OpenStack Ceilometer
OpenStack Ceilometer is the telemetry and metering service in the OpenStack ecosystem that collects, normalizes, and stores usage and performance data for monitoring, billing, and autoscaling purposes.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
OpenStack service
ⓘ
data processing service ⓘ |
| alsoKnownAs | Sahara NERFINISHED ⓘ |
| component |
sahara-api
NERFINISHED
ⓘ
sahara-dashboard NERFINISHED ⓘ sahara-engine NERFINISHED ⓘ |
| configuration | cluster templates stored in database ⓘ |
| deploymentModel |
long-running clusters
ⓘ
on-demand cluster provisioning ⓘ transient clusters ⓘ |
| developmentModel | open source ⓘ |
| documentation | https://docs.openstack.org/sahara/latest/ ⓘ |
| feature |
REST API
ⓘ
auto-scaling of clusters ⓘ cluster template management ⓘ data source management ⓘ job binaries management ⓘ job execution management ⓘ node group templates ⓘ plugin-based architecture ⓘ web dashboard integration ⓘ |
| formerlyKnownAs | Savanna NERFINISHED ⓘ |
| governedBy | OpenStack Foundation NERFINISHED ⓘ |
| integratesWith | OpenStack Dashboard (Horizon) NERFINISHED ⓘ |
| language | Python NERFINISHED ⓘ |
| license | Apache License 2.0 ⓘ |
| partOf | OpenStack NERFINISHED ⓘ |
| purpose |
big data processing
ⓘ
data processing ⓘ |
| repository |
https://opendev.org/openstack/sahara
ⓘ
https://opendev.org/openstack/sahara-dashboard ⓘ |
| runsOn | OpenStack Compute (Nova) NERFINISHED ⓘ |
| supports |
multi-tenant environments
ⓘ
pluggable provisioning plugins ⓘ |
| supportsFramework |
Apache Hadoop
NERFINISHED
ⓘ
Apache Spark NERFINISHED ⓘ Apache Storm NERFINISHED ⓘ Cloudera CDH NERFINISHED ⓘ Hortonworks Data Platform NERFINISHED ⓘ |
| useCase |
ETL data processing
ⓘ
batch analytics ⓘ machine learning workloads on big data clusters ⓘ running Hadoop clusters on OpenStack ⓘ running Spark clusters on OpenStack ⓘ |
| uses |
OpenStack Block Storage (Cinder)
NERFINISHED
ⓘ
OpenStack Identity (Keystone) NERFINISHED ⓘ OpenStack Image (Glance) NERFINISHED ⓘ OpenStack Networking (Neutron) NERFINISHED ⓘ OpenStack Orchestration (Heat) 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: OpenStack Sahara Description of subject: OpenStack Sahara is the data processing service within the OpenStack ecosystem that simplifies deploying and managing big data frameworks like Hadoop and Spark on cloud infrastructure.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.