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DBMS > Apache Kylin vs. Hive vs. Quasardb vs. Riak KV vs. TDSQL for MySQL

System Properties Comparison Apache Kylin vs. Hive vs. Quasardb vs. Riak KV vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparisonTDSQL for MySQL  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 HadoopDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value storeA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.28
Rank#155  Overall
#74  Relational DBMS
Score78.66
Rank#17  Overall
#11  Relational DBMS
Score0.07
Rank#330  Overall
#29  Time Series DBMS
Score6.29
Rank#69  Overall
#10  Key-value stores
Score0.51
Rank#239  Overall
#115  Relational DBMS
Websitekylin.apache.orghive.apache.orgquasardb.netriak.com/­products/­riak-kvintl.cloud.tencent.com/­product/­dcdb
Technical documentationkylin.apache.org/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­masterintl.cloud.tencent.com/­product/­dcdb#m_developer
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software Foundation infoinitially developed by FacebookquasardbBasho TechnologiesTencent
Initial release20152012200920092013
Current release3.1.0, July 20203.1.2, August 20193.13.3, April 20222.1.0, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++Erlang
Server operating systemsLinuxAll OS with a Java VMBSD
Linux
OS X
Windows
Linux
OS X
hosted
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binarynoyes
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.nononono
Secondary indexesyesyesyes infowith tagsrestrictedyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statementsSQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
HTTP APIHTTP API
Native Erlang Interface
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoJavaScript and Erlangyes
Triggersnonoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infono "single point of failure"Automatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication with selectable replication factorselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducewith Hadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeno
User concepts infoAccess controlAccess rights for users, groups and rolesCryptographically strong user authentication and audit trailnoUsers with fine-grained authorization concept

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More resources
Apache KylinHiveQuasardbRiak KVTDSQL for MySQL
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