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DBMS > BaseX vs. Fujitsu Enterprise Postgres vs. Microsoft Access vs. NSDb vs. Titan

System Properties Comparison BaseX vs. Fujitsu Enterprise Postgres vs. Microsoft Access vs. NSDb vs. Titan

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNSDb  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Microsoft 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.)Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelNative XML DBMSRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitebasex.orgwww.postgresql.fastware.comwww.microsoft.com/­en-us/­microsoft-365/­accessnsdb.iogithub.com/­thinkaurelius/­titan
Technical documentationdocs.basex.orgwww.postgresql.fastware.com/­product-manualsdeveloper.microsoft.com/­en-us/­accessnsdb.io/­Architecturegithub.com/­thinkaurelius/­titan/­wiki
DeveloperBaseX GmbHPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMicrosoftAurelius, owned by DataStax
Initial release2007199220172012
Current release10.7, August 2023Fujitsu Enterprise Postgres 14, January 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0Open Source infoApache license, version 2.0
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 languageJavaCC++Java, ScalaJava
Server operating systemsLinux
OS X
Windows
Linux
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyes: int, bigint, decimal, stringyes
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
Secondary indexesyesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyesyes infobut not compliant to any SQL standardSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
DAO
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresyesuser defined functionsyes infosince Access 2010 using the ACE-enginenoyes
Triggersyes infovia eventsyesyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashnoneShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingUsing Apache Luceneyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003User authentification and security via Rexster Graph Server

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More resources
BaseXFujitsu Enterprise PostgresMicrosoft AccessNSDbTitan
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