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DBMS > Hive vs. Teradata vs. VoltDB

System Properties Comparison Hive vs. Teradata vs. VoltDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonTeradata  Xexclude from comparisonVoltDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA hybrid cloud data analytics software platform (Teradata Vantage)Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score57.29
Rank#19  Overall
#13  Relational DBMS
Score44.52
Rank#22  Overall
#15  Relational DBMS
Score1.45
Rank#151  Overall
#69  Relational DBMS
Websitehive.apache.orgwww.teradata.comwww.voltdb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.teradata.comdocs.voltdb.com
DeveloperApache Software Foundation infoinitially developed by FacebookTeradataVoltDB Inc.
Initial release201219842010
Current release3.1.3, April 2022Teradata Vantage 1.0 MU2, January 201911.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++
Server operating systemsAll OS with a Java VMhosted
Linux
Linux
OS X infofor development
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.yes
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL 2016 + extensionsyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC++
Java
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoUDFs, stored procedures, table functions in parallelJava
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Multi-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 Consistency
Foreign keys infoReferential integritynoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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More resources
HiveTeradataVoltDB
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