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DBMS > EsgynDB vs. eXtremeDB vs. Greenplum vs. ObjectBox

System Properties Comparison EsgynDB vs. eXtremeDB vs. Greenplum vs. ObjectBox

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGreenplum  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionNatively in-memory DBMS with options for persistency, high-availability and clusteringAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSObject oriented DBMS
Vector DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Websitewww.esgyn.cnwww.mcobject.comgreenplum.orggithub.com/­objectbox
objectbox.io
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.greenplum.orgdocs.objectbox.io
DeveloperEsgynMcObjectPivotal Software Inc.ObjectBox Limited
Initial release2015200120052017
Current release8.2, 20217.0.0, September 20234.0 (May 2024)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Bindings are released under Apache 2.0 infoApache License 2.0
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 languageC++, JavaC and C++C and C++
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, plus "flex" map-like types
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.nono infosupport of XML interfaces availableyes infosince Version 4.2no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLyesno
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
Java
Lua
Python
Scala
C
Java
Perl
Python
R
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresJava Stored Proceduresyesyesno
Triggersnoyes infoby defining eventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes
More information provided by the system vendor
EsgynDBeXtremeDBGreenplumObjectBox
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,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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