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DBMS > Apache Kylin vs. Hive vs. Impala vs. TerarkDB

System Properties Comparison Apache Kylin vs. Hive vs. Impala vs. TerarkDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonHive  Xexclude from comparisonImpala  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackdata warehouse software for querying and managing large distributed datasets, built on HadoopAnalytic DBMS for HadoopA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.28
Rank#154  Overall
#74  Relational DBMS
Score81.61
Rank#17  Overall
#11  Relational DBMS
Score18.03
Rank#40  Overall
#25  Relational DBMS
Score0.00
Rank#354  Overall
#54  Key-value stores
Websitekylin.apache.orghive.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlgithub.com/­Terark/­terarkdb
Technical documentationkylin.apache.org/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlgithub.com/­Terark/­terarkdb/­wiki
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software Foundation infoinitially developed by FacebookClouderaTerark
Initial release2015201220132016
Current release3.1.0, July 20203.1.2, August 20194.0.0, July 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoApache Version 2commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++
Server operating systemsLinuxAll OS with a Java VMLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statementsSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
C++ API
Java API
Supported programming languagesC++
Java
PHP
Python
All languages supporting JDBC/ODBCC++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infouser defined functions and integration of map-reduceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno

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Apache KylinHiveImpalaTerarkDB
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