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DBMS > AllegroGraph vs. CouchDB vs. HEAVY.AI vs. jBASE vs. Kinetica

System Properties Comparison AllegroGraph vs. CouchDB vs. HEAVY.AI vs. jBASE vs. Kinetica

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonjBASE  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA robust multi-value DBMS comprising development tools and middlewareFully vectorized database across both GPUs and CPUs
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeRelational DBMSMultivalue DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS infousing the Geocouch extensionSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#199  Overall
#34  Document stores
#18  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score11.73
Rank#45  Overall
#7  Document stores
Score2.30
Rank#127  Overall
#60  Relational DBMS
Score1.68
Rank#151  Overall
#3  Multivalue DBMS
Score0.74
Rank#229  Overall
#105  Relational DBMS
Websiteallegrograph.comcouchdb.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kinetica.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.couchdb.org/­en/­stabledocs.heavy.aidocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.kinetica.com
DeveloperFranz Inc.Apache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerHEAVY.AI, Inc.Rocket Software (formerly Zumasys)Kinetica
Initial release20042005201619912012
Current release8.0, December 20233.3.3, December 20235.10, January 20225.77.1, August 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache version 2Open Source infoApache Version 2; enterprise edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++ and CUDAC, C++
Server operating systemsLinux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
LinuxAIX
Linux
Windows
Linux
Data schemeyes infoRDF schemasschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesoptionalyes
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 possiblenonoyesno
Secondary indexesyesyes infovia viewsnoyes
SQL infoSupport of SQLSPARQL is used as query languagenoyesEmbedded SQL for jBASE in BASICSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP/JSON APIJDBC
ODBC
Thrift
Vega
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispView functions in JavaScriptnoyesuser defined functions
Triggersyesyesnoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infoimproved architecture with release 2.0Sharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possiblenoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights can be defined down to the item levelAccess rights for users and roles on table level
More information provided by the system vendor
AllegroGraphCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022jBASEKinetica
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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