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DBMS > DataFS vs. HugeGraph vs. Ingres vs. JanusGraph

System Properties Comparison DataFS vs. HugeGraph vs. Ingres vs. JanusGraph

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonHugeGraph  Xexclude from comparisonIngres  Xexclude from comparisonJanusGraph infosuccessor of Titan  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.A fast-speed and highly-scalable Graph DBMSWell established RDBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelObject oriented DBMSGraph DBMSRelational DBMSGraph DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Websitenewdatabase.comgithub.com/­hugegraph
hugegraph.apache.org
www.actian.com/­databases/­ingresjanusgraph.org
Technical documentationdev.mobiland.com/­Overview.xsphugegraph.apache.org/­docsdocs.actian.com/­ingresdocs.janusgraph.org
DeveloperMobiland AGBaiduActian CorporationLinux Foundation; originally developed as Titan by Aurelius
Initial release201820181974 infooriginally developed at University Berkely in early 1970s2017
Current release1.1.263, October 20220.911.2, May 20220.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava
Server operating systemsWindowsLinux
macOS
Unix
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Java API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
C
C#
C++
VB.Net
Groovy
Java
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesyes
Triggersno, except callback-events from server when changes happenednoyesyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseIngres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlWindows-ProfileUsers, roles and permissionsfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
DataFSHugeGraphIngresJanusGraph infosuccessor of Titan
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