Greenplum
E668705
analytics platform
data warehouse platform
massively parallel processing database
open-source software
relational database management system
Greenplum is a massively parallel, open-source data warehouse and analytics platform designed for large-scale business intelligence and big data workloads.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Greenplum canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7501993 — 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: Greenplum Context triple: [EMC Corporation, product, Greenplum]
-
A.
PostgreSQL
PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
-
B.
Amazon Redshift
Amazon Redshift is a fully managed, cloud-based data warehousing service from Amazon Web Services designed for fast querying and analysis of large datasets using SQL.
-
C.
Teradata
Teradata is an enterprise-grade relational database management system and data warehousing platform designed for large-scale analytics and business intelligence workloads.
-
D.
AnalyticDB
AnalyticDB is Alibaba Cloud’s distributed cloud-native data warehousing and analytics service designed for high-performance, real-time analysis of large-scale data.
-
E.
PolarDB
PolarDB is a cloud-native relational database service developed by Alibaba Cloud that provides high performance, scalability, and compatibility with popular database engines.
- 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: Greenplum Target entity description: Greenplum is a massively parallel, open-source data warehouse and analytics platform designed for large-scale business intelligence and big data workloads.
-
A.
PostgreSQL
PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
-
B.
Amazon Redshift
Amazon Redshift is a fully managed, cloud-based data warehousing service from Amazon Web Services designed for fast querying and analysis of large datasets using SQL.
-
C.
Teradata
Teradata is an enterprise-grade relational database management system and data warehousing platform designed for large-scale analytics and business intelligence workloads.
-
D.
AnalyticDB
AnalyticDB is Alibaba Cloud’s distributed cloud-native data warehousing and analytics service designed for high-performance, real-time analysis of large-scale data.
-
E.
PolarDB
PolarDB is a cloud-native relational database service developed by Alibaba Cloud that provides high performance, scalability, and compatibility with popular database engines.
- F. None of above. chosen
Statements (71)
| Predicate | Object |
|---|---|
| instanceOf |
analytics platform
ⓘ
data warehouse platform ⓘ massively parallel processing database ⓘ open-source software ⓘ relational database management system ⓘ |
| basedOn | PostgreSQL NERFINISHED ⓘ |
| compatibleWith | PostgreSQL ecosystem tools ⓘ |
| deploymentModel |
cloud infrastructure
ⓘ
on-premises ⓘ |
| designedFor |
big data workloads
ⓘ
business intelligence ⓘ enterprise analytics ⓘ large-scale data warehousing ⓘ |
| developedBy |
Greenplum community
NERFINISHED
ⓘ
Pivotal Software NERFINISHED ⓘ VMware NERFINISHED ⓘ |
| hasArchitecture | shared-nothing architecture ⓘ |
| hasCommunity | Greenplum open source community ⓘ |
| hasComponent |
interconnect network
ⓘ
master node ⓘ segment nodes ⓘ |
| hasFeature |
column-oriented tables
ⓘ
cost-based optimizer ⓘ data distribution policies ⓘ extension framework ⓘ external data access ⓘ gpfdist data loading utility ⓘ parallel backup and restore ⓘ parallel data loading ⓘ query optimizer based on PostgreSQL ⓘ resource groups ⓘ resource queues ⓘ row-oriented tables ⓘ |
| hasUseCase |
ETL offloading
ⓘ
advanced analytics ⓘ data science workloads ⓘ data warehousing ⓘ reporting ⓘ |
| is | open source ⓘ |
| license | Apache License 2.0 ⓘ |
| originatedAs | Greenplum Database NERFINISHED ⓘ |
| previouslyOwnedBy | EMC NERFINISHED ⓘ |
| runsOn | Linux NERFINISHED ⓘ |
| supports |
ACID transactions
ⓘ
ANSI SQL NERFINISHED ⓘ OLAP workloads ⓘ PL/Java NERFINISHED ⓘ PL/Python NERFINISHED ⓘ PL/R NERFINISHED ⓘ PL/pgSQL NERFINISHED ⓘ SQL ⓘ big data analytics ⓘ business intelligence workloads ⓘ columnar storage ⓘ data compression ⓘ data distribution ⓘ external tables ⓘ fault tolerance ⓘ federated queries ⓘ geospatial analytics ⓘ high availability ⓘ in-database analytics ⓘ machine learning extensions ⓘ massively parallel processing ⓘ parallel query execution ⓘ partitioning ⓘ resource management ⓘ row-oriented storage ⓘ user-defined functions ⓘ workload management ⓘ |
| website | https://greenplum.org ⓘ |
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: Greenplum Description of subject: Greenplum is a massively parallel, open-source data warehouse and analytics platform designed for large-scale business intelligence and big data workloads.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.