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DBMS > Hive vs. SiteWhere vs. Ultipa

System Properties Comparison Hive vs. SiteWhere vs. Ultipa

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonSiteWhere  Xexclude from comparisonUltipa  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopM2M integration platform for persisting/querying time series dataHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websitehive.apache.orggithub.com/­sitewhere/­sitewherewww.ultipa.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homesitewhere1.sitewhere.io/­index.htmlwww.ultipa.com/­document
DeveloperApache Software Foundation infoinitially developed by FacebookSiteWhereUltipa
Initial release201220102019
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoCommon Public Attribution License Version 1.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Data schemeyespredefined scheme
Typing infopredefined data types such as float or dateyesyes
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 indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
HTTP RESTRESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduce
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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 concept

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More resources
HiveSiteWhereUltipa
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