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DBMS > Citus vs. EJDB vs. GigaSpaces vs. SAP SQL Anywhere vs. Transwarp StellarDB

System Properties Comparison Citus vs. EJDB vs. GigaSpaces vs. SAP SQL Anywhere vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonEJDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLEmbeddable document-store database library with JSON representation of queries (in MongoDB style)High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSGraph DBMS
Secondary database modelsDocument storeGraph DBMS
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DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score0.13
Rank#331  Overall
#46  Document stores
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score3.50
Rank#81  Overall
#44  Relational DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
Websitewww.citusdata.comgithub.com/­Softmotions/­ejdbwww.gigaspaces.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.citusdata.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.gigaspaces.com/­latest/­landing.htmlhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperSoftmotionsGigaspaces TechnologiesSAP infoformerly SybaseTranswarp
Initial release2010201220001992
Current release8.1, December 201815.5, September 202017, July 2015
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoGPLv2Open Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCJava, C++, .Net
Server operating systemsLinuxserver-lessLinux
macOS
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
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.yes infospecific XML type available, but no XML query functionalityno infoXML can be used for describing objects metadatayes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-99 for query and DML statementsyesSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
in-process shared libraryGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
HTTP API
JDBC
ODBC
OpenCypher
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C++
Java
Python
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyesyes, in C/C++, Java, .Net or Perl
Triggersyesnoyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole-based access controlfine grained access rights according to SQL-standardyes

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More resources
CitusEJDBGigaSpacesSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTranswarp StellarDB
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