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DBMS > GigaSpaces vs. Hive vs. Microsoft Azure SQL Database vs. Percona Server for MongoDB vs. TerarkDB

System Properties Comparison GigaSpaces vs. Hive vs. Microsoft Azure SQL Database vs. Percona Server for MongoDB vs. TerarkDB

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactionsdata warehouse software for querying and managing large distributed datasets, built on HadoopDatabase as a Service offering with high compatibility to Microsoft SQL ServerA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMSDocument storeKey-value store
Secondary database modelsGraph DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.gigaspaces.comhive.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­bytedance/­terarkdb
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­en-us/­azure/­azure-sqldocs.percona.com/­percona-distribution-for-mongodbbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGigaspaces TechnologiesApache Software Foundation infoinitially developed by FacebookMicrosoftPerconaByteDance, originally Terark
Initial release20002012201020152016
Current release15.5, September 20203.1.3, April 2022V123.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2commercialOpen Source infoGPL Version 2commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaC++C++C++
Server operating systemsLinux
macOS
Solaris
Windows
All OS with a Java VMhostedLinux
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.no infoXML can be used for describing objects metadatayesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like DML and DDL statementsyesnono
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
proprietary protocol using JSONC++ API
Java API
Supported programming languages.Net
C++
Java
Python
Scala
C++
Java
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
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
C++
Java
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceTransact SQLJavaScriptno
Triggersyes, event driven architecturenoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factoryes, with always 3 replicas availableSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engineyes
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights for users and rolesno

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GigaSpacesHiveMicrosoft Azure SQL Database infoformerly SQL AzurePercona Server for MongoDBTerarkDB
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