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DBMS > DataFS vs. Galaxybase vs. TinkerGraph vs. Vitess

System Properties Comparison DataFS vs. Galaxybase vs. TinkerGraph vs. Vitess

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGalaxybase  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVitess  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.Scalable, ACID-compliant native distributed parallel graph platformA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelObject oriented DBMSGraph DBMSGraph DBMSRelational DBMS
Secondary database modelsGraph DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#369  Overall
#18  Object oriented DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
Score0.08
Rank#345  Overall
#34  Graph DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitenewdatabase.comgalaxybase.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinvitess.io
Technical documentationdev.mobiland.com/­Overview.xspvitess.io/­docs
DeveloperMobiland AGChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司The Linux Foundation, PlanetScale
Initial release2018201720092013
Current release1.1.263, October 2022Nov 20, November 202115.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and JavaJavaGo
Server operating systemsWindowsLinuxDocker
Linux
macOS
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)Strong typed schemaschema-freeyes
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 indexesnoyesnoyes
SQL infoSupport of SQLnononoyes infowith proprietary extensions
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
TinkerPop 3ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
Go
Java
Python
Groovy
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined procedures and functionsnoyes infoproprietary syntax
Triggersno, except callback-events from server when changes happenednoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyes infoRelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlWindows-ProfileRole-based access controlnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
DataFSGalaxybaseTinkerGraphVitess
Recent citations in the news

Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune
3 June 2024, AWS Blog

Simple Deployment of a Graph Database: JanusGraph
12 October 2020, Towards Data Science

Introducing Gremlin query hints for Amazon Neptune
26 February 2019, AWS Blog

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Deepthi Sigireddi on Distributed Database Architecture in the Cloud Native Era
20 May 2024, InfoQ.com

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13 December 2018, TechCrunch

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