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DBMS > Apache Kylin vs. Hive vs. jBASE vs. Riak KV

System Properties Comparison Apache Kylin vs. Hive vs. jBASE vs. Riak KV

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonHive  Xexclude from comparisonjBASE  Xexclude from comparisonRiak KV  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 HadoopA robust multi-value DBMS comprising development tools and middlewareDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitekylin.apache.orghive.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationkylin.apache.org/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9www.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software Foundation infoinitially developed by FacebookRocket Software (formerly Zumasys)OpenSource, formerly Basho Technologies
Initial release2015201219912009
Current release3.1.0, July 20203.1.3, April 20225.73.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaErlang
Server operating systemsLinuxAll OS with a Java VMAIX
Linux
Windows
Linux
OS X
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptionalno
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.noyesno
Secondary indexesyesyesrestricted
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statementsEmbedded SQL for jBASE in BASICno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
HTTP API
Native Erlang Interface
Supported programming languagesC++
Java
PHP
Python
.Net
Basic
Jabbascript
Java
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesErlang
Triggersnoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.noyes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights can be defined down to the item levelyes, using Riak Security

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More resources
Apache KylinHivejBASERiak KV
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