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DBMS > Hazelcast vs. MongoDB vs. mSQL

System Properties Comparison Hazelcast vs. MongoDB vs. mSQL

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMongoDB  Xexclude from comparisonmSQL infoMini SQL  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 infrastructuremSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelKey-value storeDocument storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.52
Rank#50  Overall
#6  Key-value stores
Score488.57
Rank#5  Overall
#1  Document stores
Score1.84
Rank#127  Overall
#62  Relational DBMS
Websitehazelcast.comwww.mongodb.comhughestech.com.au/­products/­msql
Technical documentationhazelcast.org/­imdg/­docsdocs.mongodb.com/­manual
DeveloperHazelcastMongoDB, IncHughes Technologies
Initial release200820091994
Current release5.0, September 20215.0.5, December 20214.4, October 2021
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.commercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
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 strategyno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageRead-only SQL queries via the MongoDB Connector for BIA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
proprietary protocol using JSONJDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesJavaScriptno
Triggersyes infoEventsyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
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
none
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno
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 isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesno
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes
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 3.2no
User concepts infoAccess controlRole-based access controlAccess rights for users and rolesno
More information provided by the system vendor
HazelcastMongoDBmSQL infoMini SQL
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HazelcastMongoDBmSQL infoMini SQL
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