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DBMS > Apache HugeGraph vs. DataFS vs. SAP SQL Anywhere

System Properties Comparison Apache HugeGraph vs. DataFS vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameApache HugeGraph  Xexclude from comparisonDataFS  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSAll 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.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelGraph DBMSObject oriented DBMSRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#285  Overall
#23  Graph DBMS
Score0.00
Rank#381  Overall
#20  Object oriented DBMS
Score2.87
Rank#88  Overall
#48  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
newdatabase.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationhugegraph.apache.org/­docsdev.mobiland.com/­Overview.xsphelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperBaiduMobiland AGSAP infoformerly Sybase
Initial release201820181992
Current release0.91.1.263, October 202217, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
macOS
Unix
WindowsAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyes infoalso supports composite index and range indexnoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
.Net
C
C#
C++
VB.Net
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes, in C/C++, Java, .Net or Perl
Triggersnono, except callback-events from server when changes happenedyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseProprietary Sharding systemnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers, roles and permissionsWindows-Profilefine grained access rights according to SQL-standard

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More resources
Apache HugeGraphDataFSSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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