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DBMS > DataFS vs. Graph Engine vs. H2 vs. JanusGraph vs. WakandaDB

System Properties Comparison DataFS vs. Graph Engine vs. H2 vs. JanusGraph vs. WakandaDB

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonH2  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonWakandaDB  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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelObject oriented DBMSGraph DBMS
Key-value store
Relational DBMSGraph DBMSObject oriented DBMS
Secondary database modelsGraph DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitenewdatabase.comwww.graphengine.iowww.h2database.comjanusgraph.orgwakanda.github.io
Technical documentationdev.mobiland.com/­Overview.xspwww.graphengine.io/­docs/­manualwww.h2database.com/­html/­main.htmldocs.janusgraph.orgwakanda.github.io/­doc
DeveloperMobiland AGMicrosoftThomas MuellerLinux Foundation; originally developed as Titan by AureliusWakanda SAS
Initial release20182010200520172012
Current release1.1.263, October 20222.2.220, July 20230.6.3, February 20232.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
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 language.NET and CJavaJavaC++, JavaScript
Server operating systemsWindows.NETAll OS with a Java VMLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyesyesyes
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.nonononono
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIJDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
C#
C++
F#
Visual Basic
JavaClojure
Java
Python
JavaScript
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined Functionsyesyes
Triggersno, except callback-events from server when changes happenednoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemhorizontal partitioningnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serveryes

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More resources
DataFSGraph Engine infoformer name: TrinityH2JanusGraph infosuccessor of TitanWakandaDB
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Trinity
2 June 2023, Microsoft

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