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DBMS > AgensGraph vs. GeoSpock vs. Microsoft Access vs. Microsoft Azure AI Search vs. Postgres-XL

System Properties Comparison AgensGraph vs. GeoSpock vs. Microsoft Access vs. Microsoft Azure AI Search vs. Postgres-XL

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostgres-XL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLSpatial and temporal data processing engine for extreme data scaleMicrosoft 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.)Search-as-a-service for web and mobile app developmentBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMSVector DBMSDocument store
Spatial 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
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitebitnine.net/­agensgraphgeospock.comwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­searchwww.postgres-xl.org
Technical documentationbitnine.net/­documentationdeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­searchwww.postgres-xl.org/­documentation
DeveloperBitnine Global Inc.GeoSpockMicrosoftMicrosoft
Initial release2016199220152014 infosince 2012, originally named StormDB
Current release2.1, December 20182.0, September 20191902 (16.0.11328.20222), March 2019V110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, JavascriptC++C
Server operating systemsLinux
OS X
Windows
hostedWindows infoNot a real database server, but making use of DLLshostedLinux
macOS
Data schemedepending on used data modelyesyesyesyes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)yes infobut not compliant to any SQL standardnoyes infodistributed, parallel query execution
APIs and other access methodsCypher Query Language
JDBC
JDBCADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnoyes infosince Access 2010 using the ACE-enginenouser defined functions
Triggersnonoyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceAutomatic shardingnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
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-standardAccess rights for users can be defined per tableno infoa simple user-level security was built in till version Access 2003yes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
AgensGraphGeoSpockMicrosoft AccessMicrosoft Azure AI SearchPostgres-XL
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