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DBMS > AllegroGraph vs. Altibase vs. Greenplum vs. Microsoft SQL Server vs. VoltDB

System Properties Comparison AllegroGraph vs. Altibase vs. Greenplum vs. Microsoft SQL Server vs. VoltDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAltibase  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn enterprise grade, high-performance RDBMSAnalytic 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.Microsofts flagship relational DBMSDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#8  Vector DBMS
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websiteallegrograph.comaltibase.comgreenplum.orgwww.microsoft.com/­en-us/­sql-serverwww.voltdb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.greenplum.orglearn.microsoft.com/­en-US/­sql/­sql-serverdocs.voltdb.com
DeveloperFranz Inc.AltibasePivotal Software Inc.MicrosoftVoltDB Inc.
Initial release20041999200519892010
Current release8.0, December 2023v7.3, 2023, August 20237.0.0, September 2023SQL Server 2022, November 202211.3, April 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infoOpen source edition discontinued with March 2023Open Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++C++Java, C++
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
LinuxLinux
Windows
Linux
OS X infofor development
Data schemeyes infoRDF schemasyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infobulk load of XML files possiblenoyes infosince Version 4.2yes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageANSI SQL-92yesyesyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Java
C
Java
Perl
Python
R
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispstored procedures and stored functionsyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJava
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers and roles with access to stored procedures
More information provided by the system vendor
AllegroGraphAltibaseGreenplumMicrosoft SQL ServerVoltDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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