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DBMS > Hazelcast vs. Microsoft Azure Data Explorer vs. Virtuoso

System Properties Comparison Hazelcast vs. Microsoft Azure Data Explorer vs. Virtuoso

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionA widely adopted in-memory data gridFully managed big data interactive analytics platformVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelKey-value storeRelational DBMSGraph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.28
Rank#46  Overall
#5  Key-value stores
Score2.66
Rank#97  Overall
#48  Relational DBMS
Score2.77
Rank#91  Overall
#5  Graph DBMS
#3  Native XML DBMS
#45  Relational DBMS
#2  RDF stores
#11  Search engines
Websitehazelcast.comazure.microsoft.com/­services/­data-explorervirtuoso.openlinksw.com
Technical documentationhazelcast.org/­documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.openlinksw.com/­virtuoso
DeveloperHazelcastMicrosoftOpenLink Software
Initial release200820191998
Current release4.0, February 20208.3, May 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsAll OS with a Java VMhostedAIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typing infopredefined data types such as float or dateyesyesyes
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 strategyyesyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageKusto Query Language (KQL), SQL subsetyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesYes. Languages: KQL, Python, Ryes infoVirtuoso PL
Triggersyes infoEventsTable-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.yes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceyes
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.Chain, star, and bi-directional replication
Master-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
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 integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 controlAzure Active Directory AuthenticationFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
HazelcastMicrosoft Azure Data ExplorerVirtuoso
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Used for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Broad use across enterprises and governments including — European Union (EU) US Government...
» more
Market metricsLargest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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More resources
HazelcastMicrosoft Azure Data ExplorerVirtuoso
Recent citations in the news

Hazelcast raises $50 million to deliver speedy in-memory compute services
11 February 2020, VentureBeat

In-memory computing platform Hazelcast raises $28.5m
11 February 2020, Finextra

Hazelcast raises additional $50M in Series D funding to meet growing demands for in-memory computing
12 February 2020, TechStartups.com

Leading In-Memory Computing Platform Hazelcast Raises $50 Million Funding
13 February 2020, Pulse 2.0

The Weekly Notable Startup Funding Report: 2/17/20
17 February 2020, AlleyWatch

provided by Google News

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Microsoft announces reserved capacity offerings for six more Azure services
13 November 2019, Neowin

How to use Azure Data Explorer for big data analysis
12 February 2019, InfoWorld

An overview of Azure Data Explorer (ADX) - Microsoft
7 February 2019, Channel 9

provided by Google News

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