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DBMS > Apache Hive vs. TDSQL for MySQL vs. Transwarp KunDB

System Properties Comparison Apache Hive vs. TDSQL for MySQL vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA 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.OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.09
Rank#18  Overall
#12  Relational DBMS
Score0.94
Rank#193  Overall
#89  Relational DBMS
Score0.02
Rank#375  Overall
#156  Relational DBMS
Websitehive.apache.orgwww.tencentcloud.com/­products/­dcdbwww.transwarp.cn/­en/­product/­kundb
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.tencentcloud.com/­document/­product/­1042
DeveloperApache Software Foundation infoinitially developed by FacebookTencentTranswarp
Initial release20122013
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java VMhosted
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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 controlAccess rights for users, groups and rolesUsers with fine-grained authorization conceptyes

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More resources
Apache HiveTDSQL for MySQLTranswarp KunDB
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