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DBMS > Hive vs. Teradata vs. Tkrzw

System Properties Comparison Hive vs. Teradata vs. Tkrzw

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonTeradata  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA hybrid cloud data analytics software platform (Teradata Vantage)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score47.84
Rank#21  Overall
#15  Relational DBMS
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitehive.apache.orgwww.teradata.comdbmx.net/­tkrzw
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.teradata.com
DeveloperApache Software Foundation infoinitially developed by FacebookTeradataMikio Hirabayashi
Initial release201219842020
Current release3.1.3, April 2022Teradata Vantage 1.0 MU2, January 20190.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java VMhosted
Linux
Linux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.yesno
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL 2016 + extensionsno
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC++
Java
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoUDFs, stored procedures, table functions in parallelno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
none
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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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.yesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardno

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More resources
HiveTeradataTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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