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DBMS > Hazelcast vs. Microsoft Azure SQL Database vs. Realm vs. Stardog

System Properties Comparison Hazelcast vs. Microsoft Azure SQL Database vs. Realm vs. Stardog

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRealm  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA widely adopted in-memory data gridDatabase as a Service offering with high compatibility to Microsoft SQL ServerA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value storeRelational DBMSDocument storeGraph DBMS
RDF store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitehazelcast.comazure.microsoft.com/­en-us/­products/­azure-sql/­databaserealm.iowww.stardog.com
Technical documentationhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlrealm.io/­docsdocs.stardog.com
DeveloperHazelcastMicrosoftRealm, acquired by MongoDB in May 2019Stardog-Union
Initial release2008201020142010
Current release5.3.6, November 2023V127.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsAll OS with a Java VMhostedAndroid
Backend: server-less
iOS
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes
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 strategyyesnono infoImport/export of XML data possible
Secondary indexesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like query languageyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesTransact SQLno inforuns within the applications so server-side scripts are unnecessaryuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes infoEventsyesyes infoChange Listenersyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes, with always 3 replicas availablenoneMulti-source replication in HA-Cluster
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 HA-Cluster
Foreign keys infoReferential integritynoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes infoIn-Memory realmyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardyesAccess rights for users and roles

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More resources
HazelcastMicrosoft Azure SQL Database infoformerly SQL AzureRealmStardog
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