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DBMS > GridGain vs. Hazelcast vs. Percona Server for MongoDB vs. SiteWhere

System Properties Comparison GridGain vs. Hazelcast vs. Percona Server for MongoDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHazelcast  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA widely adopted in-memory data gridA drop-in replacement for MongoDB Community Edition with enterprise-grade features.M2M integration platform for persisting/querying time series data
Primary database modelKey-value store
Relational DBMS
Key-value storeDocument storeTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.60
Rank#246  Overall
#39  Document stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.gridgain.comhazelcast.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­sitewhere/­sitewhere
Technical documentationwww.gridgain.com/­docs/­index.htmlhazelcast.org/­imdg/­docsdocs.percona.com/­percona-distribution-for-mongodbsitewhere1.sitewhere.io/­index.html
DeveloperGridGain Systems, Inc.HazelcastPerconaSiteWhere
Initial release2007200820152010
Current releaseGridGain 8.5.15.3.6, November 20233.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL Version 2Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaC++Java
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMLinuxLinux
OS X
Windows
Data schemeyesschema-freeschema-freepredefined scheme
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.yesyes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languagenono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
proprietary protocol using JSONHTTP REST
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoEvent Listeners, Executor ServicesJavaScript
Triggersyes (cache interceptors and events)yes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoReplicated MapSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone 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.yesyesyes infovia In-Memory Engineno
User concepts infoAccess controlSecurity Hooks for custom implementationsRole-based access controlAccess rights for users and rolesUsers with fine-grained authorization concept

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More resources
GridGainHazelcastPercona Server for MongoDBSiteWhere
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