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DBMS > AllegroGraph vs. HBase vs. HEAVY.AI vs. Transwarp KunDB

System Properties Comparison AllegroGraph vs. HBase vs. HEAVY.AI vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHBase  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSWide-column store based on Apache Hadoop and on concepts of BigTableA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Wide column storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.14
Rank#341  Overall
#149  Relational DBMS
Websiteallegrograph.comhbase.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.transwarp.cn/­en/­product/­kundb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlhbase.apache.org/­book.htmldocs.heavy.ai
DeveloperFranz Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetHEAVY.AI, Inc.Transwarp
Initial release200420082016
Current release8.0, December 20232.3.4, January 20215.10, January 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache version 2Open Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDA
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Data schemeyes infoRDF schemasschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLSPARQL is used as query languagenoyesyes
APIs and other access methodsRESTful HTTP API
SPARQL
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
Vega
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoCoprocessors in Javanoyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infoRound robinhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACID
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.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardyes
More information provided by the system vendor
AllegroGraphHBaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Transwarp KunDB
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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