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apache/kylin

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3,765 Stars·1,511 Forks·Java·Apache-2.0·2 Aufrufe

Kylin

Kylin is a distributed OLAP engine designed for executing fast SQL queries on massive datasets. It utilizes multi-dimensional data cubes to pre-calculate data aggregates, enabling sub-second response times for large-scale analytical queries and big data analytics.

The system focuses on large-scale data warehousing and multi-dimensional data modeling. It allows for the organization and querying of vast amounts of structured data to support business intelligence and reporting workflows through distributed SQL querying.

Features

  • Cubes - Utilizes a pre-computed cube architecture to convert complex analytical queries into simple lookups for sub-second responses.
  • Big Data and Analytics - Provides a comprehensive platform for running complex SQL commands and analyzing massive datasets across distributed systems.
  • Data Warehousing - Provides a platform for large-scale data storage and high-performance analytical query execution to support business intelligence.
  • Hadoop - Persists massive datasets and pre-computed cubes on the Hadoop distributed file system for scalability.
  • Distributed SQL Querying - Provides a distributed engine to execute relational SQL queries and transformations on structured data across a cluster.
  • Data Cubes - Pre-calculates data aggregates into multi-dimensional cubes to provide sub-second response times for large-scale queries.
  • Multi-Dimensional Analysis - Executes complex analytical queries on large datasets using a distributed engine for high-speed responses.
  • OLAP Database Engines - Operates as a distributed database optimized for high-performance multi-dimensional analytics and read-heavy workloads.
  • Distributed Schema Management - Tracks data definitions and cube specifications in a relational database to coordinate distributed query execution.
  • Dimensional Data Modeling - Structures data into facts and dimensions via cubes to optimize for analytical querying and reporting.
  • Multi-Dimensional Data Indexing - Maps high-cardinality dimensions to physical storage locations to minimize data scanning during retrieval.
  • Cube Translation - Converts standard SQL queries into a specialized internal format that targets pre-computed data slices.

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Häufig gestellte Fragen

Was macht apache/kylin?

Kylin is a distributed OLAP engine designed for executing fast SQL queries on massive datasets. It utilizes multi-dimensional data cubes to pre-calculate data aggregates, enabling sub-second response times for large-scale analytical queries and big data analytics.

Was sind die Hauptfunktionen von apache/kylin?

Die Hauptfunktionen von apache/kylin sind: Cubes, Big Data and Analytics, Data Warehousing, Hadoop, Distributed SQL Querying, Data Cubes, Multi-Dimensional Analysis, OLAP Database Engines.

Welche Open-Source-Alternativen gibt es zu apache/kylin?

Open-Source-Alternativen zu apache/kylin sind unter anderem: apache/pinot — Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It… apache/hive — Apache Hive is a SQL-on-Hadoop data warehouse that enables querying and managing petabytes of data stored in… starrocks/starrocks — StarRocks is a distributed SQL OLAP database engine designed for real-time analytics and high-performance… dc-js/dc.js — dc.js is a multi-dimensional analysis tool and visualization framework used to build interactive data dashboards. It… apache/iceberg — Iceberg is an open table format and big data table manager designed for huge analytic datasets in cloud storage. It… clickhouse/clickhouse — ClickHouse is a high-performance, columnar analytical database designed for real-time query execution and large-scale…