Datomic
E1008140
Datomic is a distributed database system for Clojure and the JVM that emphasizes immutability, time-aware data, and a powerful Datalog-based query model.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Datomic canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T12900685 — 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: Datomic Context triple: [Clojure, ecosystem, Datomic]
-
A.
RethinkDB
RethinkDB is an open-source, distributed NoSQL database designed for real-time applications by pushing live updates to clients as data changes.
-
B.
ScyllaDB
ScyllaDB is a high-performance, distributed NoSQL database designed as a drop-in replacement for Apache Cassandra, optimized for low latency and high throughput.
-
C.
CockroachDB
CockroachDB is a distributed SQL database designed for horizontal scalability, strong consistency, and high fault tolerance across multiple nodes and regions.
-
D.
VoltDB
VoltDB is a high-performance, in-memory, distributed SQL database designed for real-time analytics and transaction processing at massive scale.
-
E.
BSTDB
BSTDB is a regional multilateral development bank that finances projects to promote economic development and cooperation among Black Sea region member countries.
- 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: Datomic Target entity description: Datomic is a distributed database system for Clojure and the JVM that emphasizes immutability, time-aware data, and a powerful Datalog-based query model.
-
A.
RethinkDB
RethinkDB is an open-source, distributed NoSQL database designed for real-time applications by pushing live updates to clients as data changes.
-
B.
ScyllaDB
ScyllaDB is a high-performance, distributed NoSQL database designed as a drop-in replacement for Apache Cassandra, optimized for low latency and high throughput.
-
C.
CockroachDB
CockroachDB is a distributed SQL database designed for horizontal scalability, strong consistency, and high fault tolerance across multiple nodes and regions.
-
D.
VoltDB
VoltDB is a high-performance, in-memory, distributed SQL database designed for real-time analytics and transaction processing at massive scale.
-
E.
BSTDB
BSTDB is a regional multilateral development bank that finances projects to promote economic development and cooperation among Black Sea region member countries.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
NoSQL database
ⓘ
database system ⓘ distributed database ⓘ immutable database ⓘ time-aware database ⓘ |
| architecture |
peer-server architecture
ⓘ
separation of storage and compute ⓘ |
| creator | Rich Hickey NERFINISHED ⓘ |
| dataModel | entity-attribute-value ⓘ |
| dataUnit | datom ⓘ |
| developer | Cognitect NERFINISHED ⓘ |
| emphasizesFeature |
Datalog-based query model
ⓘ
append-only data model ⓘ immutability ⓘ schema flexibility ⓘ temporal queries ⓘ time-aware data ⓘ |
| hasComponent |
peer
ⓘ
storage service ⓘ transactor ⓘ |
| license | proprietary software license ⓘ |
| programmingLanguage | Clojure NERFINISHED ⓘ |
| queryLanguage | Datalog ⓘ |
| runsOn | Java Virtual Machine NERFINISHED ⓘ |
| storageBackend |
DynamoDB
NERFINISHED
ⓘ
SQL databases ⓘ distributed storage services ⓘ |
| supportsFeature |
ACID transactions
ⓘ
bitemporal data ⓘ database-as-a-value semantics ⓘ datoms as facts ⓘ event sourcing style modeling ⓘ historical queries ⓘ immutable history ⓘ index-based query execution ⓘ logical database as value ⓘ logical time model ⓘ point-in-time queries ⓘ pull API ⓘ schema evolution ⓘ transaction functions ⓘ transactional consistency ⓘ |
| supportsLanguage |
Clojure
NERFINISHED
ⓘ
JVM languages ⓘ Java ⓘ |
| targetAudience | Clojure developers ⓘ |
| targetPlatform | JVM 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: Datomic Description of subject: Datomic is a distributed database system for Clojure and the JVM that emphasizes immutability, time-aware data, and a powerful Datalog-based query model.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.