HALDB (High Availability Large Databases)
E752545
HALDB (High Availability Large Databases) is an IMS database organization designed to provide high availability and scalability for very large data volumes through partitioning and online management capabilities.
All labels observed (1)
| Label | Occurrences |
|---|---|
| HALDB (High Availability Large Databases) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8707110 — 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: HALDB (High Availability Large Databases) Context triple: [IMS, supports, HALDB (High Availability Large Databases)]
-
A.
SAP MaxDB
SAP MaxDB is a relational database management system developed by SAP, commonly used for enterprise applications and SAP solutions.
-
B.
TimesTen
TimesTen is an in-memory relational database from Oracle designed for extremely low-latency, high-throughput data management and real-time analytics.
-
C.
SAP HANA
SAP HANA is an in-memory, column-oriented relational database management system developed by SAP for high-performance transactional and analytical processing.
-
D.
Actian
Actian is a data management and analytics company known for its hybrid data platforms and database technologies used in enterprise applications.
-
E.
Oracle Real Application Clusters (RAC)
Oracle Real Application Clusters (RAC) is an Oracle Database option that enables multiple servers to run a single database simultaneously for high availability, scalability, and fault tolerance.
- 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: HALDB (High Availability Large Databases) Target entity description: HALDB (High Availability Large Databases) is an IMS database organization designed to provide high availability and scalability for very large data volumes through partitioning and online management capabilities.
-
A.
SAP MaxDB
SAP MaxDB is a relational database management system developed by SAP, commonly used for enterprise applications and SAP solutions.
-
B.
TimesTen
TimesTen is an in-memory relational database from Oracle designed for extremely low-latency, high-throughput data management and real-time analytics.
-
C.
SAP HANA
SAP HANA is an in-memory, column-oriented relational database management system developed by SAP for high-performance transactional and analytical processing.
-
D.
Actian
Actian is a data management and analytics company known for its hybrid data platforms and database technologies used in enterprise applications.
-
E.
Oracle Real Application Clusters (RAC)
Oracle Real Application Clusters (RAC) is an Oracle Database option that enables multiple servers to run a single database simultaneously for high availability, scalability, and fault tolerance.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf | IMS database organization ⓘ |
| benefitOver | traditional IMS databases without partitioning ⓘ |
| comparedWith | IMS full-function non-partitioned databases ⓘ |
| designedFor |
high availability
ⓘ
large data volumes ⓘ scalability ⓘ |
| fullName | High Availability Large Databases NERFINISHED ⓘ |
| goal |
improve scalability of IMS databases
ⓘ
reduce downtime for database maintenance ⓘ simplify management of large IMS databases ⓘ support continuous availability ⓘ |
| hasProperty |
data is divided into partitions
ⓘ
each partition can be managed independently ⓘ improves manageability of very large IMS databases ⓘ minimizes application outage during maintenance ⓘ supports high transaction rates ⓘ supports large key ranges ⓘ supports large numbers of database records ⓘ supports online structural changes ⓘ supports parallel access to partitions ⓘ supports parallel utility processing ⓘ |
| introducedBy | IBM NERFINISHED ⓘ |
| partOf | IMS database offerings ⓘ |
| supportsEnvironment |
IMS Database Manager
NERFINISHED
ⓘ
IMS Transaction Manager NERFINISHED ⓘ |
| supportsFeature |
database partitioning
ⓘ
high availability maintenance ⓘ incremental growth ⓘ large number of partitions ⓘ online change management ⓘ online image copy by partition ⓘ online management ⓘ online recovery by partition ⓘ online reorganization ⓘ online reorganization by partition ⓘ partition independence ⓘ partition-level backup and recovery ⓘ partition-level performance tuning ⓘ partition-level space management ⓘ partition-level utilities ⓘ |
| supportsUseCase |
24x7 availability requirements
ⓘ
data growth without outages ⓘ high-volume batch processing ⓘ large-scale OLTP systems ⓘ mission-critical workloads ⓘ very large IMS databases ⓘ |
| usedWith |
IBM IMS
NERFINISHED
ⓘ
IMS full-function databases ⓘ |
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: HALDB (High Availability Large Databases) Description of subject: HALDB (High Availability Large Databases) is an IMS database organization designed to provide high availability and scalability for very large data volumes through partitioning and online management capabilities.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.