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DBMS > Hazelcast vs. MongoDB vs. Virtuoso

System Properties Comparison Hazelcast vs. MongoDB vs. Virtuoso

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMongoDB  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionA widely adopted in-memory data gridOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelKey-value storeDocument storeGraph DBMS
Native XML DBMS
Relational DBMS
RDF store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Search engine infointegrated Lucene index, currently in MongoDB Atlas only.Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#45  Overall
#5  Key-value stores
Score412.09
Rank#5  Overall
#1  Document stores
Score2.73
Rank#89  Overall
#5  Graph DBMS
#2  Native XML DBMS
#46  Relational DBMS
#2  RDF stores
Websitehazelcast.comwww.mongodb.comvirtuoso.openlinksw.com
Technical documentationhazelcast.org/­documentationdocs.mongodb.com/­manualdocs.openlinksw.com/­virtuoso
DeveloperHazelcastMongoDB, IncOpenLink Software
Initial release200820091998
Current release3.12.2, August 20194.2, August 20198.2, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageJavaC++C
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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 strategyyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageRead-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
proprietary protocol using JSONHTTP API
OLE DB
WebDAV
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesJavaScriptyes infoVirtuoso PL
Triggersyes infoEventsyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infopartitioned by hashed, ranged, or zoned sharding keysyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMaster-slave replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlRole-based access controlAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
HazelcastMongoDBVirtuoso
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Performance & Scale โ€” as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Used for โ€” Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Broad use across enterprises and governments including โ€” European Union (EU) US Government...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Largest installed-base โ€‹of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
HazelcastMongoDBVirtuoso
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