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DBMS > GeoSpock vs. JanusGraph vs. MarkLogic vs. Microsoft Access vs. TDSQL for MySQL

System Properties Comparison GeoSpock vs. JanusGraph vs. MarkLogic vs. Microsoft Access vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Operational and transactional Enterprise NoSQL databaseMicrosoft 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 high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMSGraph DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitegeospock.comjanusgraph.orgwww.marklogic.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.janusgraph.orgdocs.marklogic.comdeveloper.microsoft.com/­en-us/­accesswww.tencentcloud.com/­document/­product/­1042
DeveloperGeoSpockLinux Foundation; originally developed as Titan by AureliusMarkLogic Corp.MicrosoftTencent
Initial release2017200119922013
Current release2.0, September 20190.6.3, February 202311.0, December 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial inforestricted free version is availablecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaC++C++
Server operating systemshostedLinux
OS X
Unix
Windows
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLshosted
Data schemeyesyesschema-free infoSchema can be enforcedyesyes
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.nonoyesno
Secondary indexestemporal, categoricalyesyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noyes infoSQL92yes infobut not compliant to any SQL standardyes
APIs and other access methodsJDBCJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesClojure
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes infovia XQuery or JavaScriptyes infosince Access 2010 using the ACE-engineyes
Triggersnoyesyesyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infocan act as a resource manager in an XA/JTA transactionACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes 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, with Range Indexesno
User concepts infoAccess controlAccess rights for users can be defined per tableUser authentification and security via Rexster Graph ServerRole-based access control at the document and subdocument levelsno infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization concept

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More resources
GeoSpockJanusGraph infosuccessor of TitanMarkLogicMicrosoft AccessTDSQL for MySQL
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