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DBMS > BigObject vs. EJDB vs. eXtremeDB vs. Greenplum

System Properties Comparison BigObject vs. EJDB vs. eXtremeDB vs. Greenplum

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEJDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Natively 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.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument storeRelational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Websitebigobject.iogithub.com/­Softmotions/­ejdbwww.mcobject.comgreenplum.org
Technical documentationdocs.bigobject.iogithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.mcobject.com/­docs/­extremedb.htmdocs.greenplum.org
DeveloperBigObject, Inc.SoftmotionsMcObjectPivotal Software Inc.
Initial release2015201220012005
Current release8.2, 20217.0.0, September 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGPLv2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
server-lessAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyes
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 4.2
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infowith the option: eXtremeSQLyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
in-process shared library.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresLuanoyesyes
Triggersnonoyes infoby defining eventsyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneActive 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 replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesno infotypically not needed, however similar functionality with collection joins possibleyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes infoRead/Write Lockingyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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.yesyesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standard
More information provided by the system vendor
BigObjectEJDBeXtremeDBGreenplum
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
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...
» more

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BigObjectEJDBeXtremeDBGreenplum
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