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DBMS > DataFS vs. Fujitsu Enterprise Postgres vs. HugeGraph vs. Microsoft Azure AI Search

System Properties Comparison DataFS vs. Fujitsu Enterprise Postgres vs. HugeGraph vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A fast-speed and highly-scalable Graph DBMSSearch-as-a-service for web and mobile app development
Primary database modelObject oriented DBMSRelational DBMSGraph DBMSSearch engine
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitenewdatabase.comwww.postgresql.fastware.comgithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­en-us/­services/­search
Technical documentationdev.mobiland.com/­Overview.xspwww.postgresql.fastware.com/­product-manualshugegraph.apache.org/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperMobiland AGPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyBaiduMicrosoft
Initial release201820182015
Current release1.1.263, October 2022Fujitsu Enterprise Postgres 14, January 20220.9V1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemsWindowsLinux
Windows
Linux
macOS
Unix
hosted
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyes
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.nonono
Secondary indexesnoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoyesnono
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Groovy
Java
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsno
Triggersno, except callback-events from server when changes happenedyesnono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systempartitioning by range, list and by hashyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardUsers, roles and permissionsyes infousing Azure authentication

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More resources
DataFSFujitsu Enterprise PostgresHugeGraphMicrosoft Azure AI Search
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