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DBMS > Hazelcast vs. Hive vs. Kinetica vs. Percona Server for MongoDB

System Properties Comparison Hazelcast vs. Hive vs. Kinetica vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHive  Xexclude from comparisonKinetica  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionA widely adopted in-memory data griddata warehouse software for querying and managing large distributed datasets, built on HadoopFully vectorized database across both GPUs and CPUsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitehazelcast.comhive.apache.orgwww.kinetica.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationhazelcast.org/­imdg/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.kinetica.comdocs.percona.com/­percona-distribution-for-mongodb
DeveloperHazelcastApache Software Foundation infoinitially developed by FacebookKineticaPercona
Initial release2008201220122015
Current release5.3.6, November 20233.1.3, April 20227.1, August 20213.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2commercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, C++C++
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinuxLinux
Data schemeschema-freeyesyesschema-free
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.yes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsSQL-like DML and DDL statementsno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
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 infoEvent Listeners, Executor Servicesyes infouser defined functions and integration of map-reduceuser defined functionsJavaScript
Triggersyes infoEventsnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapselectable replication factorSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednonono
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.yesyes infoGPU vRAM or System RAMyes infovia In-Memory Engine
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and rolesAccess rights for users and roles on table levelAccess rights for users and roles

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More resources
HazelcastHiveKineticaPercona Server for MongoDB
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