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DBMS > Hazelcast vs. Microsoft Azure Table Storage vs. RDF4J vs. UniData,UniVerse vs. YottaDB

System Properties Comparison Hazelcast vs. Microsoft Azure Table Storage vs. RDF4J vs. UniData,UniVerse vs. YottaDB

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridA Wide Column Store for rapid development using massive semi-structured datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.MultiValue database and application server with SQL mapping layer and meta database capabilitiesA fast and solid embedded Key-value store
Primary database modelKey-value storeWide column storeRDF storeMultivalue DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitehazelcast.comazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatayottadb.com
Technical documentationhazelcast.org/­imdg/­docsrdf4j.org/­documentationdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatayottadb.com/­resources/­documentation
DeveloperHazelcastMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Rocket SoftwareYottaDB, LLC
Initial release20082012200419852001
Current release5.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCC
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Docker
Linux
Data schemeschema-freeschema-freeyes infoRDF Schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesoptionalno
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 strategynono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like query languagenonoyesby using the Octo plugin
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
.Net
Basic infoU2 Basic
C
Java
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnoyesyes
Triggersyes infoEventsnoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedoptimistic lockingACID infoIsolation support depends on the API usedACID infoconfigurableoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole-based access controlAccess rights based on private key authentication or shared access signaturesnoAccess rights according to SQL-standard and operating system basedUsers and groups based on OS-security mechanisms

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More resources
HazelcastMicrosoft Azure Table StorageRDF4J infoformerly known as SesameUniData,UniVerseYottaDB
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