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DBMS > DataFS vs. DolphinDB vs. Faircom EDGE vs. TinkerGraph

System Properties Comparison DataFS vs. DolphinDB vs. Faircom EDGE vs. TinkerGraph

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonDolphinDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonTinkerGraph  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.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelObject oriented DBMSTime Series DBMSKey-value store
Relational DBMS
Graph DBMS
Secondary database modelsGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitenewdatabase.comwww.dolphindb.comwww.faircom.com/­products/­faircom-edgetinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdev.mobiland.com/­Overview.xspdocs.dolphindb.cn/­en/­help200/­index.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperMobiland AGDolphinDB, IncFairCom Corporation
Initial release2018201819792009
Current release1.1.263, October 2022v2.00.4, January 2022V3, October 2020
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercial infoRestricted, free version 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 languageC++ANSI C, C++Java
Server operating systemsWindowsLinux
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes
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.nonoyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like query languageyes infoANSI SQL queriesno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
TinkerPop 3
Supported programming languages.Net
C
C#
C++
VB.Net
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Groovy
Java
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++no
Triggersno, except callback-events from server when changes happenednoyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemhorizontal partitioningFile partitioning infoCustomizable business rules for partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
none
Foreign keys infoReferential integrityyesnoyes infowhen using SQLyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlWindows-ProfileAdministrators, Users, GroupsFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no

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More resources
DataFSDolphinDBFaircom EDGE infoformerly c-treeEDGETinkerGraph
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