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DBMS > Hazelcast vs. Ingres vs. Microsoft Azure Table Storage vs. RDFox vs. UniData,UniVerse

System Properties Comparison Hazelcast vs. Ingres vs. Microsoft Azure Table Storage vs. RDFox vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDFox  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA widely adopted in-memory data gridWell established RDBMSA Wide Column Store for rapid development using massive semi-structured datasetsHigh performance knowledge graph and semantic reasoning engineMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeRelational DBMSWide column storeGraph DBMS
RDF store
Multivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitehazelcast.comwww.actian.com/­databases/­ingresazure.microsoft.com/­en-us/­services/­storage/­tableswww.oxfordsemantic.techwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationhazelcast.org/­imdg/­docsdocs.actian.com/­ingresdocs.oxfordsemantic.techdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperHazelcastActian CorporationMicrosoftOxford Semantic TechnologiesRocket Software
Initial release20081974 infooriginally developed at University Berkely in early 1970s201220171985
Current release5.3.6, November 202311.2, May 20226.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++C
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hostedLinux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeyes infoRDF schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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.yes infothe object must implement a serialization strategyno infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyesnonoyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP APIRESTful HTTP API
SPARQL 1.1
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesyesnoyes
Triggersyes infoEventsyesnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapIngres Replicatoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.replication via a shared file systemSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDoptimistic lockingACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
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.yesnonoyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesRoles, resources, and access typesAccess rights according to SQL-standard and operating system based

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More resources
HazelcastIngresMicrosoft Azure Table StorageRDFoxUniData,UniVerse
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