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DBMS > Apache Kylin vs. Databend vs. Hive

System Properties Comparison Apache Kylin vs. Databend vs. Hive

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDatabend  Xexclude from comparisonHive  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitydata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitekylin.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
hive.apache.org
Technical documentationkylin.apache.org/­docsdocs.databend.comcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperApache Software Foundation, originally contributed from eBay IncDatabend LabsApache Software Foundation infoinitially developed by Facebook
Initial release201520212012
Current release3.1.0, July 20201.0.59, April 20233.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustJava
Server operating systemsLinuxhosted
Linux
macOS
All OS with a Java VM
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduce
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles

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More resources
Apache KylinDatabendHive
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