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DBMS > AllegroGraph vs. Amazon DocumentDB vs. Microsoft Access vs. Percona Server for MongoDB

System Properties Comparison AllegroGraph vs. Amazon DocumentDB vs. Microsoft Access vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSFast, scalable, highly available, and fully managed MongoDB-compatible database serviceMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeRelational DBMSDocument store
Secondary database modelsSpatial 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
#7  Vector DBMS
Score1.91
Rank#131  Overall
#24  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websiteallegrograph.comaws.amazon.com/­documentdbwww.microsoft.com/­en-us/­microsoft-365/­accesswww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlaws.amazon.com/­documentdb/­resourcesdeveloper.microsoft.com/­en-us/­accessdocs.percona.com/­percona-distribution-for-mongodb
DeveloperFranz Inc.MicrosoftPercona
Initial release2004201919922015
Current release8.0, December 20231902 (16.0.11328.20222), March 20193.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinux
OS X
Windows
hostedWindows infoNot a real database server, but making use of DLLsLinux
Data schemeyes infoRDF schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 possiblenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes infobut not compliant to any SQL standardno
APIs and other access methodsRESTful HTTP API
SPARQL
proprietary protocol using JSON (MongoDB compatible)ADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSON
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes infosince Access 2010 using the ACE-engineJavaScript
Triggersyesnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodeswith FederationnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Engine
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and rolesno infoa simple user-level security was built in till version Access 2003Access rights for users and roles
More information provided by the system vendor
AllegroGraphAmazon DocumentDBMicrosoft AccessPercona Server for MongoDB
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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