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DBMS > AgensGraph vs. Greenplum vs. mSQL vs. SWC-DB

System Properties Comparison AgensGraph vs. Greenplum vs. mSQL vs. SWC-DB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGreenplum  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAnalytic 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.mSQL (Mini SQL) is a simple and lightweight RDBMSA high performance, scalable Wide Column DBMS
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitebitnine.net/­agensgraphgreenplum.orghughestech.com.au/­products/­msqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationbitnine.net/­documentationdocs.greenplum.org
DeveloperBitnine Global Inc.Pivotal Software Inc.Hughes TechnologiesAlex Kashirin
Initial release2016200519942020
Current release2.1, December 20187.0.0, September 20234.4, October 20210.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercial infofree licenses can be providedOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCC++
Server operating systemsLinux
OS X
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemedepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infosince Version 4.2nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Thrift
Supported programming languagesC
Java
JavaScript
Python
C
Java
Perl
Python
R
C
C++
Delphi
Java
Perl
PHP
Tcl
C++
Server-side scripts infoStored proceduresyesyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
AgensGraphGreenplummSQL infoMini SQLSWC-DB infoSuper Wide Column Database
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