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DBMS > AllegroGraph vs. Elasticsearch vs. Kinetica vs. Quasardb

System Properties Comparison AllegroGraph vs. Elasticsearch vs. Kinetica vs. Quasardb

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonElasticsearch  Xexclude from comparisonKinetica  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricFully 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
Search engineRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.16
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score134.78
Rank#7  Overall
#1  Search engines
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websiteallegrograph.comwww.elastic.co/­elasticsearchwww.kinetica.comquasar.ai
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.kinetica.comdoc.quasar.ai/­master
DeveloperFranz Inc.ElasticKineticaquasardb
Initial release2004201020122009
Current release8.0, December 20238.6, January 20237.1, August 20213.14.1, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoElastic Licensecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageJavaC, C++C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxBSD
Linux
OS X
Windows
Data schemeyes infoRDF schemasschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes 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 possiblenonono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes infowith tags
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
Java API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
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 Lispyesuser defined functionsno
Triggersyesyes infoby using the 'percolation' featureyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyes 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 roles on table levelCryptographically strong user authentication and audit trail
More information provided by the system vendor
AllegroGraphElasticsearchKineticaQuasardb
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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9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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