Oracle Database In-Memory
E486215
Oracle Database In-Memory is an optional feature of the Oracle Database that accelerates analytic and mixed workloads by storing data in a dual-format architecture, including a highly optimized in-memory columnar format.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Oracle Database In-Memory canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5017445 — 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: Oracle Database In-Memory Context triple: [Oracle GoldenGate, integratesWith, Oracle Database In-Memory]
-
A.
Oracle Autonomous Transaction Processing
Oracle Autonomous Transaction Processing is a cloud-based, self-driving database service from Oracle designed to automate tuning, scaling, security, and patching for high-performance transactional workloads.
-
B.
Oracle Automatic Storage Management
Oracle Automatic Storage Management is an Oracle database feature that provides integrated volume management and file system capabilities to simplify and optimize storage management for Oracle databases.
-
C.
Oracle Database
Oracle Database is a widely used enterprise relational database management system known for its scalability, reliability, and robust support for complex data workloads.
-
D.
Oracle Maximum Availability Architecture
Oracle Maximum Availability Architecture is Oracle's comprehensive framework of best practices and technologies designed to ensure continuous availability, data protection, and disaster recovery for mission-critical Oracle Database environments.
-
E.
Oracle Autonomous Data Warehouse
Oracle Autonomous Data Warehouse is a fully managed, cloud-based data warehouse service from Oracle that uses automation and machine learning to handle provisioning, tuning, scaling, and security for analytics workloads.
- 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: Oracle Database In-Memory Target entity description: Oracle Database In-Memory is an optional feature of the Oracle Database that accelerates analytic and mixed workloads by storing data in a dual-format architecture, including a highly optimized in-memory columnar format.
-
A.
Oracle Autonomous Transaction Processing
Oracle Autonomous Transaction Processing is a cloud-based, self-driving database service from Oracle designed to automate tuning, scaling, security, and patching for high-performance transactional workloads.
-
B.
Oracle Automatic Storage Management
Oracle Automatic Storage Management is an Oracle database feature that provides integrated volume management and file system capabilities to simplify and optimize storage management for Oracle databases.
-
C.
Oracle Database
Oracle Database is a widely used enterprise relational database management system known for its scalability, reliability, and robust support for complex data workloads.
-
D.
Oracle Maximum Availability Architecture
Oracle Maximum Availability Architecture is Oracle's comprehensive framework of best practices and technologies designed to ensure continuous availability, data protection, and disaster recovery for mission-critical Oracle Database environments.
-
E.
Oracle Autonomous Data Warehouse
Oracle Autonomous Data Warehouse is a fully managed, cloud-based data warehouse service from Oracle that uses automation and machine learning to handle provisioning, tuning, scaling, and security for analytics workloads.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
Oracle Database option
ⓘ
database feature ⓘ |
| benefit |
improves analytic throughput
ⓘ
offloads analytic processing from row store ⓘ reduces query response time ⓘ |
| compatibleWith | Oracle Real Application Clusters NERFINISHED ⓘ |
| controlledBy | In-Memory column store size parameter ⓘ |
| developer | Oracle Corporation NERFINISHED ⓘ |
| documentationURL | https://docs.oracle.com/en/database/oracle/oracle-database/ ⓘ |
| hasArchitecture | dual-format architecture ⓘ |
| hasFeature | in-memory column store ⓘ |
| integratesWith |
Oracle Exadata
NERFINISHED
ⓘ
Oracle Optimizer NERFINISHED ⓘ Oracle Real Application Clusters (RAC) NERFINISHED ⓘ |
| introducedInVersion | Oracle Database 12c Release 1 (12.1.0.2) NERFINISHED ⓘ |
| keepsCopy | in-memory columnar format for query acceleration ⓘ |
| maintains | full transactional consistency with row store ⓘ |
| optimizesFor |
analytic queries
ⓘ
scans of large data sets ⓘ |
| partOf | Oracle Database NERFINISHED ⓘ |
| persistsData | on disk in traditional row format ⓘ |
| primaryGoal |
accelerate analytic workloads
ⓘ
accelerate mixed workloads ⓘ |
| requires | additional Oracle Database license ⓘ |
| storesDataFormat |
in-memory columnar format
ⓘ
row format ⓘ |
| supports |
OLTP and analytic workloads on the same database
ⓘ
automatic in-memory management ⓘ column-level in-memory population ⓘ partition-level in-memory population ⓘ priority-based population ⓘ real-time analytics ⓘ table-level in-memory population ⓘ |
| supportsFeature |
In-Memory Aggregation
ⓘ
In-Memory Column Store on Exadata Flash NERFINISHED ⓘ In-Memory Dynamic Scans NERFINISHED ⓘ In-Memory Expressions ⓘ In-Memory External Tables ⓘ In-Memory FastStart NERFINISHED ⓘ In-Memory Joins ⓘ In-Memory Optimized Arithmetic ⓘ In-Memory Virtual Columns ⓘ In-Memory on Active Data Guard standby ⓘ |
| transparentTo | applications ⓘ |
| usesTechnique |
SIMD operations
ⓘ
in-memory columnar compression ⓘ vector processing ⓘ |
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: Oracle Database In-Memory Description of subject: Oracle Database In-Memory is an optional feature of the Oracle Database that accelerates analytic and mixed workloads by storing data in a dual-format architecture, including a highly optimized in-memory columnar format.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.