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DBMS > eXtremeDB vs. FatDB vs. GigaSpaces vs. Hive

System Properties Comparison eXtremeDB vs. FatDB vs. GigaSpaces vs. Hive

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFatDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHive  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringA .NET NoSQL DBMS that can integrate with and extend SQL Server.High 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 Hadoop
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websitewww.mcobject.comwww.gigaspaces.comhive.apache.org
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.gigaspaces.com/­latest/­landing.htmlcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperMcObjectFatCloudGigaspaces TechnologiesApache Software Foundation infoinitially developed by Facebook
Initial release2001201220002012
Current release8.2, 202115.5, September 20203.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C#Java, C++, .NetJava
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
WindowsLinux
macOS
Solaris
Windows
All OS with a Java VM
Data schemeyesschema-freeschema-freeyes
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.no infosupport of XML interfaces availableno infoXML can be used for describing objects metadata
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLno infoVia inetgration in SQL ServerSQL-99 for query and DML statementsSQL-like DML and DDL statements
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#.Net
C++
Java
Python
Scala
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesyes infovia applicationsyesyes infouser defined functions and integration of map-reduce
Triggersyes infoby defining eventsyes infovia applicationsyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoMap-Reduce pattern can be built with XAP task executorsyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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
User concepts infoAccess controlno infoCan implement custom security layer via applicationsRole-based access controlAccess rights for users, groups and roles
More information provided by the system vendor
eXtremeDBFatDBGigaSpacesHive
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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