Redis
E183380
Redis is an in-memory data structure store commonly used as a database, cache, and message broker known for its high performance and low latency.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Redis canonical | 9 |
| Heroku Redis | 1 |
| Redis Ltd. | 1 |
| Redis scripting | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1613130 — 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: Redis Context triple: [NestJS, supportsTransport, Redis]
-
A.
Amazon DynamoDB
Amazon DynamoDB is a fully managed, serverless NoSQL database service by AWS designed for high-performance, scalable key-value and document data storage.
-
B.
PostgreSQL
PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
-
C.
B-tree
A B-tree is a self-balancing tree data structure that maintains sorted data and allows efficient insertion, deletion, and search operations, commonly used to implement database indexes.
-
D.
RDS
RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
-
E.
DB
DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
- 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: Redis Target entity description: Redis is an in-memory data structure store commonly used as a database, cache, and message broker known for its high performance and low latency.
-
A.
Amazon DynamoDB
Amazon DynamoDB is a fully managed, serverless NoSQL database service by AWS designed for high-performance, scalable key-value and document data storage.
-
B.
PostgreSQL
PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
-
C.
B-tree
A B-tree is a self-balancing tree data structure that maintains sorted data and allows efficient insertion, deletion, and search operations, commonly used to implement database indexes.
-
D.
RDS
RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
-
E.
DB
DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
- F. None of above. chosen
Statements (56)
| Predicate | Object |
|---|---|
| instanceOf |
NoSQL database
ⓘ
cache system ⓘ in-memory data structure store ⓘ key–value database ⓘ message broker ⓘ |
| creator | Salvatore Sanfilippo ⓘ |
| developer |
Redis
self-linksurface differs
ⓘ
surface form:
Redis Ltd.
|
| initialReleaseDate | 2009 ⓘ |
| knownFor |
high performance
ⓘ
low latency ⓘ |
| license | Redis Source Available License ⓘ |
| networkModel | client–server ⓘ |
| persistenceMode | in-memory with optional disk persistence ⓘ |
| programmingLanguage | C ⓘ |
| supportsClient |
C# programming language
ⓘ
surface form:
C#
Go ⓘ Java ⓘ JavaScript ⓘ Python ⓘ |
| supportsDataModel |
document
ⓘ
key–value ⓘ time series ⓘ |
| supportsDataStructure |
JSON document
ⓘ
bitmap ⓘ geospatial index ⓘ hash ⓘ hyperloglog ⓘ list ⓘ set ⓘ sorted set ⓘ stream ⓘ string ⓘ |
| supportsFeature |
LRU eviction policies
ⓘ
Lua scripting ⓘ append-only file persistence ⓘ automatic failover ⓘ clustering ⓘ high availability ⓘ key expiration ⓘ modules API ⓘ partitioning ⓘ persistence to disk ⓘ pipelining ⓘ pub/sub messaging ⓘ replication ⓘ snapshotting ⓘ transactions ⓘ transactions with MULTI/EXEC ⓘ |
| supportsProtocol | RESP ⓘ |
| typicalUseCase |
caching
ⓘ
leaderboards ⓘ message queuing ⓘ rate limiting ⓘ real-time analytics ⓘ session storage ⓘ |
| website | https://redis.io/ ⓘ |
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: Redis Description of subject: Redis is an in-memory data structure store commonly used as a database, cache, and message broker known for its high performance and low latency.
Referenced by (12)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Heroku Redis