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DBMS > gStore vs. Hazelcast vs. Heroic vs. Microsoft Azure AI Search

System Properties Comparison gStore vs. Hazelcast vs. Heroic vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NamegStore  Xexclude from comparisonHazelcast  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionA native Graph DBMS to store and maintain very large RDF datasets.A widely adopted in-memory data gridTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSearch-as-a-service for web and mobile app development
Primary database modelGraph DBMS
RDF store
Key-value storeTime Series DBMSSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websiteen.gstore.cnhazelcast.comgithub.com/­spotify/­heroicazure.microsoft.com/­en-us/­services/­search
Technical documentationen.gstore.cn/­#/­enDocshazelcast.org/­imdg/­docsspotify.github.io/­heroiclearn.microsoft.com/­en-us/­azure/­search
DeveloperHazelcastSpotifyMicrosoft
Initial release2016200820142015
Current release1.2, November 20235.3.6, November 2023V1
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava
Server operating systemsLinuxAll OS with a Java VMhosted
Data schemeschema-free and OWL/RDFS-schema supportschema-freeschema-freeyes
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.noyes infothe object must implement a serialization strategynono
Secondary indexesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsHTTP API
SPARQL 1.1
JCache
JPA
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
PHP
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesyes infoEvent Listeners, Executor Servicesnono
Triggersyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitednono
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.noyesnono
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportedRole-based access controlyes infousing Azure authentication

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More resources
gStoreHazelcastHeroicMicrosoft Azure AI Search
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