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DBMS > AllegroGraph vs. Hazelcast vs. Kinetica vs. NCache

System Properties Comparison AllegroGraph vs. Hazelcast vs. Kinetica vs. NCache

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHazelcast  Xexclude from comparisonKinetica  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA widely adopted in-memory data gridFully vectorized database across both GPUs and CPUsOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeRelational DBMSKey-value store
Secondary database modelsSpatial DBMSDocument store infoJSON support with IMDG 3.12Spatial DBMS
Time Series DBMS
Document store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.91
Rank#196  Overall
#29  Key-value stores
Websiteallegrograph.comhazelcast.comwww.kinetica.comwww.alachisoft.com/­ncache
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlhazelcast.org/­imdg/­docsdocs.kinetica.comwww.alachisoft.com/­resources/­docs
DeveloperFranz Inc.HazelcastKineticaAlachisoft
Initial release2004200820122005
Current release8.0, December 20235.3.6, November 20237.1, August 20215.3.3, April 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoEnterprise Edition available
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#, .NET, .NET Core, Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxLinux
Windows
Data schemeyes infoRDF schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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 possibleyes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageSQL-like DML and DDL statementsSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsRESTful HTTP API
SPARQL
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoEvent Listeners, Executor Servicesuser defined functionsno infosupport for stored procedures with SQL-Server CLR
Triggersyesyes infoEventsyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoReplicated MapSource-replica replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednooptimistic locking and pessimistic locking
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 infoGPU vRAM or System RAMyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationRole-based access controlAccess rights for users and roles on table levelAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
AllegroGraphHazelcastKineticaNCache
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more
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24 August 2024

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More resources
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