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DBMS > AllegroGraph vs. dBASE vs. GridGain vs. Kinetica vs. Quasardb

System Properties Comparison AllegroGraph vs. dBASE vs. GridGain vs. Kinetica vs. Quasardb

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisondBASE  Xexclude from comparisonGridGain  Xexclude from comparisonKinetica  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.GridGain is an in-memory computing platform, built on Apache IgniteFully vectorized database across both GPUs and CPUsDistributed, high-performance timeseries database
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteallegrograph.comwww.dbase.comwww.gridgain.comwww.kinetica.comquasar.ai
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.dbase.com/­support/­knowledgebasewww.gridgain.com/­docs/­index.htmldocs.kinetica.comdoc.quasar.ai/­master
DeveloperFranz Inc.Asthon TateGridGain Systems, Inc.Kineticaquasardb
Initial release20041979200720122009
Current release8.0, December 2023dBASE 2019, 2019GridGain 8.5.17.1, August 20213.14.1, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageJava, C++, .NetC, C++C++
Server operating systemsLinux
OS X
Windows
DOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Solaris
Windows
LinuxBSD
Linux
OS X
Windows
Data schemeyes infoRDF schemasyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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 possibleyesnono
Secondary indexesyesyesyesyesyes infowith tags
SQL infoSupport of SQLSPARQL is used as query languagenoANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
none infoThe IDE can access other DBMS or ODBC-sources.HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
dBase proprietary IDEC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispno infoThe IDE can access stored procedures in other database systems.yes (compute grid and cache interceptors can be used instead)user defined functionsno
Triggersyesnoyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes (replicated cache)Source-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and rolesSecurity Hooks for custom implementationsAccess rights for users and roles on table levelCryptographically strong user authentication and audit trail
More information provided by the system vendor
AllegroGraphdBASEGridGainKineticaQuasardb
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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