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DBMS > Hive vs. OrigoDB vs. TinkerGraph vs. Yaacomo

System Properties Comparison Hive vs. OrigoDB vs. TinkerGraph vs. Yaacomo

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonOrigoDB  Xexclude from comparisonTinkerGraph  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 fully ACID in-memory object graph databaseA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitehive.apache.orgorigodb.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinyaacomo.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeorigodb.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookRobert Friberg et alQ2WEB GmbH
Initial release20122009 infounder the name LiveDB20092009
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#Java
Server operating systemsAll OS with a Java VMLinux
Windows
Android
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes
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 infocan be achieved using .NETnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
HTTP API
LINQ
TinkerPop 3JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
.NetGroovy
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnoyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizednonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynodepending on modelyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesRole based authorizationnofine grained access rights according to SQL-standard

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More resources
HiveOrigoDBTinkerGraphYaacomo
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