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DBMS > 4D vs. Graph Engine vs. GridDB vs. JanusGraph

System Properties Comparison 4D vs. Graph Engine vs. GridDB vs. JanusGraph

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineScalable in-memory time series database optimized for IoT and Big DataA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelRelational DBMSGraph DBMS
Key-value store
Time Series DBMSGraph DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Websitewww.4d.comwww.graphengine.iogriddb.netjanusgraph.org
Technical documentationdeveloper.4d.comwww.graphengine.io/­docs/­manualdocs.griddb.netdocs.janusgraph.org
Developer4D, IncMicrosoftToshiba CorporationLinux Foundation; originally developed as Titan by Aurelius
Initial release1984201020132017
Current releasev20, April 20235.1, August 20220.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen 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 language.NET and CC++Java
Server operating systemsOS X
Windows
.NETLinuxLinux
OS X
Unix
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.yesnonono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages4D proprietary IDE
PHP
C#
C++
F#
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresyesyesnoyes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers and groupsAccess rights for users can be defined per databaseUser authentification and security via Rexster Graph Server
More information provided by the system vendor
4D infoformer name: 4th DimensionGraph Engine infoformer name: TrinityGridDBJanusGraph infosuccessor of Titan
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
4D infoformer name: 4th DimensionGraph Engine infoformer name: TrinityGridDBJanusGraph infosuccessor of Titan
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