Cloudera
E387790
Cloudera is an enterprise data management and analytics company best known for its platform built on Apache Hadoop and related open-source big data technologies.
All labels observed (9)
| Label | Occurrences |
|---|---|
| Cloudera canonical | 2 |
| Cloudera Data Engineering | 1 |
| Cloudera Data Platform | 1 |
| Cloudera Data Warehouse | 1 |
| Cloudera DataFlow | 1 |
| Cloudera Enterprise Data Hub | 1 |
| Cloudera Machine Learning | 1 |
| Cloudera Manager | 1 |
| Cloudera Operational Database | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3780527 — 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: Cloudera Context triple: [Greylock Partners, investment, Cloudera]
-
A.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
-
B.
Databricks
Databricks is a cloud-based data and AI company best known for its unified analytics platform built around Apache Spark, enabling large-scale data engineering, data science, and machine learning workloads.
-
C.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
-
D.
Azul Systems
Azul Systems is a software company specializing in high-performance, scalable Java runtimes and JVM technologies for enterprise applications.
-
E.
Apache Oozie
Apache Oozie is a workflow scheduler system designed to manage and coordinate Hadoop jobs such as MapReduce, Pig, and Hive in complex data processing pipelines.
- 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: Cloudera Target entity description: Cloudera is an enterprise data management and analytics company best known for its platform built on Apache Hadoop and related open-source big data technologies.
-
A.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
-
B.
Databricks
Databricks is a cloud-based data and AI company best known for its unified analytics platform built around Apache Spark, enabling large-scale data engineering, data science, and machine learning workloads.
-
C.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
-
D.
Azul Systems
Azul Systems is a software company specializing in high-performance, scalable Java runtimes and JVM technologies for enterprise applications.
-
E.
Apache Oozie
Apache Oozie is a workflow scheduler system designed to manage and coordinate Hadoop jobs such as MapReduce, Pig, and Hive in complex data processing pipelines.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
Analytics company
ⓘ
Big data company ⓘ Enterprise data management company ⓘ Software company ⓘ |
| basedOn |
Apache Hadoop ecosystem
ⓘ
linked to:
Hadoop
Open-source software ⓘ |
| countryOfOrigin |
United States
ⓘ
linked to:
United States of America
|
| foundedBy |
Amr Awadallah
ⓘ
Christophe Bisciglia ⓘ Jeff Hammerbacher ⓘ Kirk Dunn ⓘ Mike Olson ⓘ |
| headquartersLocation | Santa Clara, California, United States ⓘ |
| inception | 2008 ⓘ |
| industry |
Big data
ⓘ
Data analytics ⓘ Data management ⓘ |
| offers |
Cloud-based data platform
ⓘ
Hybrid data platform ⓘ On-premises data platform ⓘ |
| product |
Cloudera Data Engineering
ⓘ
linked to:
Cloudera
Cloudera Data Platform ⓘ
linked to:
Cloudera
Cloudera Data Warehouse ⓘ
linked to:
Cloudera
Cloudera DataFlow ⓘ
linked to:
Cloudera
Cloudera Distribution Including Apache Hadoop ⓘ
linked to:
CDH
Cloudera Enterprise Data Hub ⓘ
linked to:
Cloudera
Cloudera Machine Learning ⓘ
linked to:
Cloudera
Cloudera Manager ⓘ
linked to:
Cloudera
Cloudera Navigator ⓘ Cloudera Operational Database ⓘ
linked to:
Cloudera
|
| provides |
Analytics platform
ⓘ
Data management platform ⓘ Enterprise support for open-source big data technologies ⓘ |
| specializesIn |
Data governance
ⓘ
Data lakehouse architectures ⓘ Data security ⓘ Data warehousing ⓘ Machine learning and AI workloads ⓘ Streaming data processing ⓘ |
| targetCustomer |
Financial services companies
ⓘ
Large enterprises ⓘ Public sector organizations ⓘ Telecommunications companies ⓘ |
| usesTechnology |
Apache HBase
ⓘ
Apache Hadoop ⓘ
linked to:
Hadoop
Apache Hive ⓘ Apache Impala ⓘ Apache Kafka ⓘ Apache Spark ⓘ |
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: Cloudera Description of subject: Cloudera is an enterprise data management and analytics company best known for its platform built on Apache Hadoop and related open-source big data technologies.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.