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DBMS > AllegroGraph vs. Hive vs. KairosDB vs. Kinetica

System Properties Comparison AllegroGraph vs. Hive vs. KairosDB vs. Kinetica

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHive  Xexclude from comparisonKairosDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSdata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Time Series DBMS based on Cassandra or H2GPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#156  Overall
#26  Document stores
#13  Graph DBMS
#7  RDF stores
Score70.43
Rank#16  Overall
#11  Relational DBMS
Score0.76
Rank#194  Overall
#11  Time Series DBMS
Score0.76
Rank#193  Overall
#97  Relational DBMS
Websiteallegrograph.comhive.apache.orggithub.com/­kairosdb/­kairosdbwww.kinetica.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homekairosdb.github.iowww.kinetica.com/­docs
DeveloperFranz Inc.Apache Software Foundation infoinitially developed by FacebookKinetica
Initial release2004201220132012
Current release7.0.0, April 20203.1.2, August 20191.2.2, November 20186.0
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC, C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Linux
Data schemeyes infoRDF schemasyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infobulk load of XML files possiblenono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsnoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
Thrift
Graphite protocol
HTTP REST
Telnet API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Java
PHP
Python
Java
JavaScript infoNode.js
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infouser defined functions and integration of map-reducenouser defined functions
Triggersyesnonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and rolessimple password-based access controlAccess rights for users and roles on table level
More information provided by the system vendor
AllegroGraphHiveKairosDBKinetica
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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