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

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

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDFox  Xexclude from comparisonSqrrl  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA widely adopted in-memory data gridA Wide Column Store for rapid development using massive semi-structured datasetsHigh performance knowledge graph and semantic reasoning engineAdaptable, secure NoSQL built on Apache AccumuloMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeWide column storeGraph DBMS
RDF store
Document store
Graph DBMS
Key-value store
Wide column 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
Score4.48
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.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.oxfordsemantic.techsqrrl.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationhazelcast.org/­imdg/­docsdocs.oxfordsemantic.techdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperHazelcastMicrosoftOxford Semantic TechnologiesAmazon infooriginally Sqrrl Data, Inc.Rocket Software
Initial release20082012201720121985
Current release5.3.6, November 20236.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC
Server operating systemsAll OS with a Java VMhostedLinux
macOS
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyes infoRDF schemasschema-freeschema-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
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenononoyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIRESTful HTTP API
SPARQL 1.1
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnonoyes
Triggersyes infoEventsnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infomaking use of Hadoopnone
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.replication via a shared file systemselectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedoptimistic lockingACIDAtomic updates per row, document, or graph entityACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyes
User concepts infoAccess controlRole-based access controlAccess rights based on private key authentication or shared access signaturesRoles, resources, and access typesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights according to SQL-standard and operating system based

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HazelcastMicrosoft Azure Table StorageRDFoxSqrrlUniData,UniVerse
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