Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Apache Kylin

Apache Kylin is an open source distributed analytics engine designed to provide a SQL interface and multi-dimensional analysis (OLAP) on Hadoop and Alluxio supporting extremely large datasets.

Overview, Related Topics & Entities

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Apache Kylin. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

3.x
3.1.3 / 5 January 2022; 4 years ago (2022-01-05)
4.x
4.0.1 / 5 January 2022; 4 years ago (2022-01-05)
Developer
Apache Kylin Committee
License
Apache License 2.0
Release
June 10, 2015; 11 years ago (2015-06-10)
Repository
Kylin Repository

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Apache Kylin

Nodes9
Edges8
Triples42
Avg. degree1.78
Density0.222222
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Apache Kylin

Top relations

related to Roadmap · 16
Apache Kylin → Ad, Cloud-native, Connect, Cubing, Erasure Coding, Fully, Hadoop, In, Kylin, Lambda Architecture, MySQL, Oracle, Parquet, Real-time, Spark Cube, SparkSQL
related to Architecture · 8
Apache Kylin → Apache Calcite, Apache Hadoop, Apache HBase, Apache Hive, Apache Parquet, Apache Spark, Kylin, These
related to Users · 8
Apache Kylin → Beike, Japan, Meituan, NetEase, OLAP, Typical, XiaoMi, Yahoo
3.x · 1
Apache Kylin → 3.1.3 / 5 January 2022; 4 years ago (2022-01-05)
4.x · 1
Apache Kylin → 4.0.1 / 5 January 2022; 4 years ago (2022-01-05)
Developer · 1
Apache Kylin → Apache Kylin Committee
License · 1
Apache Kylin → Apache License 2.0
Release · 1
Apache Kylin → June 10, 2015; 11 years ago (2015-06-10)
Repository · 1
Apache Kylin → Kylin Repository
Stable release · 1
Apache Kylin → 3.x3.1.3 / 5 January 2022; 4 years ago (2022-01-05)4.x4.0.1 / 5 January 2022; 4 years ago (2022-01-05)

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

kylin apache hadoop analytics engine project sql ebay spark data open source olap datasets software foundation architecture users roadmap website

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Apache Kylin3.x3.1.3 / 5 January 2022; 4 years ago (2022-01-05)1.00infobox
Apache Kylin4.x4.0.1 / 5 January 2022; 4 years ago (2022-01-05)1.00infobox
Apache KylinDeveloperApache Kylin Committee1.00infobox
Apache KylinLicenseApache License 2.01.00infobox
Apache KylinReleaseJune 10, 2015; 11 years ago (2015-06-10)1.00infobox
Apache KylinRepositoryKylin Repository1.00infobox
Apache KylinStable release3.x3.1.3 / 5 January 2022; 4 years ago (2022-01-05)4.x4.0.1 / 5 January 2022; 4 years ago (2022-01-05)1.00infobox
Apache KylinWebsitekylin.apache.org1.00infobox
Apache KylinWritten inJava1.00infobox
Apache Kylinis aopen source distributed analytics engine designed to provide a SQL interface and multi-dimensional analysis0.90text
Apache Kylinrelated to ArchitectureApache Hadoop0.60section
Apache Kylinrelated to ArchitectureApache Hive0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.