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DBMS > Hive vs. OushuDB vs. Yaacomo

System Properties Comparison Hive vs. OushuDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonOushuDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Websitehive.apache.orgwww.oushu.com/­product/­oushuDByaacomo.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.oushu.com/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookOushuQ2WEB GmbH
Initial release20122009
Current release3.1.3, April 20224.0.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java VMLinuxAndroid
Linux
Windows
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 statementsFull-featured ANSI SQL supportyes
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
C
C++
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
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.yes
User concepts infoAccess controlAccess rights for users, groups and rolesKerberos, SSL and role based accessfine grained access rights according to SQL-standard

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More resources
HiveOushuDBYaacomo
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