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DBMS > AllegroGraph vs. Ingres vs. MonetDB vs. Oracle vs. Vitess

System Properties Comparison AllegroGraph vs. Ingres vs. MonetDB vs. Oracle vs. Vitess

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonIngres  Xexclude from comparisonMonetDB  Xexclude from comparisonOracle  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSWell established RDBMSA relational database management system that stores data in columnsWidely used RDBMSScalable, distributed, cloud-native DBMS, extending MySQL
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 infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websiteallegrograph.comwww.actian.com/­databases/­ingreswww.monetdb.orgwww.oracle.com/­databasevitess.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.actian.com/­ingreswww.monetdb.org/­Documentationdocs.oracle.com/­en/­databasevitess.io/­docs
DeveloperFranz Inc.Actian CorporationMonetDB BVOracleThe Linux Foundation, PlanetScale
Initial release20041974 infooriginally developed at University Berkely in early 1970s200419802013
Current release8.0, December 202311.2, May 2022Dec2023 (11.49), December 202323c, September 202315.0.2, December 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoMozilla Public License 2.0commercial inforestricted free version is availableOpen Source infoApache Version 2.0, commercial licenses available
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 languageCCC and C++Go
Server operating systemsLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Docker
Linux
macOS
Data schemeyes infoRDF schemasyesyesyes infoSchemaless in JSON and XML columnsyes
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 possibleno infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesyes infoSQL 2003 with some extensionsyes infowith proprietary extensionsyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP API
SPARQL
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesyes, in SQL, C, RPL/SQL infoalso stored procedures in Java possibleyes infoproprietary syntax
Triggersyesyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding via remote tablesSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Ingres Replicatornone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoisolation level can be parameterizedACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes infotable locks or row locks depending on storage engine
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.nonoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
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 with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
AllegroGraphIngresMonetDBOracleVitess
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
News

Can Neuro-Symbolic AI Solve AI’s Weaknesses?
17 April 2024

100 Companies That Matter in KM – Franz Inc.
3 April 2024

Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar)
9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphIngresMonetDBOracleVitess
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