MongoDB Cloud
E426147
MongoDB Cloud is a fully managed cloud database platform that provides scalable, secure, and globally distributed MongoDB database services along with tools for data management, monitoring, and analytics.
All labels observed (2)
| Label | Occurrences |
|---|---|
| MongoDB Atlas | 4 |
| MongoDB Cloud canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4280014 — 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: MongoDB Cloud Context triple: [Amazon Kinesis Data Firehose, integratesWith, MongoDB Cloud]
-
A.
MongoDB database
MongoDB database is a popular open-source NoSQL document-oriented database designed for scalability, flexibility, and high performance in modern applications.
-
B.
Amazon DocumentDB
Amazon DocumentDB is a fully managed, scalable document database service from AWS designed to be compatible with MongoDB workloads and optimized for performance, durability, and security in the cloud.
-
C.
Azure Cosmos DB
Azure Cosmos DB is a globally distributed, multi-model NoSQL database service designed for low-latency, scalable applications in the cloud.
-
D.
Mongo
Mongo is the nickname of Steve "Mongo" McMichael, a former NFL defensive tackle and professional wrestler best known for his time with the Chicago Bears and WCW.
-
E.
10gen
10gen is the original company behind the development of the MongoDB NoSQL database, later renamed MongoDB Inc.
- 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: MongoDB Cloud Target entity description: MongoDB Cloud is a fully managed cloud database platform that provides scalable, secure, and globally distributed MongoDB database services along with tools for data management, monitoring, and analytics.
-
A.
MongoDB database
MongoDB database is a popular open-source NoSQL document-oriented database designed for scalability, flexibility, and high performance in modern applications.
-
B.
Amazon DocumentDB
Amazon DocumentDB is a fully managed, scalable document database service from AWS designed to be compatible with MongoDB workloads and optimized for performance, durability, and security in the cloud.
-
C.
Azure Cosmos DB
Azure Cosmos DB is a globally distributed, multi-model NoSQL database service designed for low-latency, scalable applications in the cloud.
-
D.
Mongo
Mongo is the nickname of Steve "Mongo" McMichael, a former NFL defensive tackle and professional wrestler best known for his time with the Chicago Bears and WCW.
-
E.
10gen
10gen is the original company behind the development of the MongoDB NoSQL database, later renamed MongoDB Inc.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
Database-as-a-Service
ⓘ
cloud database platform ⓘ |
| deploymentModel | multi-cloud ⓘ |
| developer | MongoDB Inc. ⓘ |
| includes |
MongoDB Atlas
ⓘ
linked to:
MongoDB Cloud
MongoDB Atlas App Services ⓘ
linked to:
MongoDB Realm
MongoDB Atlas Charts ⓘ MongoDB Atlas Data Lake ⓘ MongoDB Atlas Search ⓘ analytics tools ⓘ backup tools ⓘ data management tools ⓘ monitoring tools ⓘ |
| integratesWith |
CI/CD pipelines
ⓘ
Kubernetes operators ⓘ popular application frameworks ⓘ |
| offers |
APIs for automation
ⓘ
web-based management console ⓘ |
| provides |
fully managed MongoDB databases
ⓘ
globally distributed database services ⓘ scalable database services ⓘ secure database services ⓘ |
| supports |
BI connectors
ⓘ
JSON and BSON data models ⓘ MongoDB document database ⓘ VPC peering ⓘ audit logging ⓘ automatic scaling ⓘ automatic sharding ⓘ backup and point-in-time recovery ⓘ data visualization via Charts ⓘ dedicated clusters ⓘ encryption at rest ⓘ encryption in transit ⓘ full-text search via Atlas Search ⓘ global clusters ⓘ mobile sync via App Services ⓘ multi-region deployments ⓘ private endpoints ⓘ replica sets ⓘ role-based access control ⓘ schema flexibility ⓘ serverless instances ⓘ shared clusters ⓘ triggers and functions via App Services ⓘ |
| supportsCloudProvider |
Amazon Web Services
ⓘ
Google Cloud Platform ⓘ
linked to:
Google Cloud
Microsoft Azure ⓘ
linked to:
Azure
|
| targetUser |
DevOps teams
ⓘ
data engineers ⓘ developers ⓘ |
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: MongoDB Cloud Description of subject: MongoDB Cloud is a fully managed cloud database platform that provides scalable, secure, and globally distributed MongoDB database services along with tools for data management, monitoring, and analytics.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: MongoDB Cloud
subject linked to:
MongoDB database
linked to: MongoDB Cloud
linked to: MongoDB Cloud
linked to: MongoDB Cloud