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DBMS > 4D vs. AgensGraph vs. Apache IoTDB vs. Brytlyt vs. CouchDB

System Properties Comparison 4D vs. AgensGraph vs. Apache IoTDB vs. Brytlyt vs. CouchDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAgensGraph  Xexclude from comparisonApache IoTDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemMulti-model database supporting relational and graph data models and built upon PostgreSQLAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.
Primary database modelRelational DBMSGraph DBMS
Relational DBMS
Time Series DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Websitewww.4d.combitnine.net/­agensgraphiotdb.apache.orgbrytlyt.iocouchdb.apache.org
Technical documentationdeveloper.4d.combitnine.net/­documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.brytlyt.iodocs.couchdb.org/­en/­stable
Developer4D, IncBitnine Global Inc.Apache Software FoundationBrytlytApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developer
Initial release19842016201820162005
Current releasev20, April 20232.1, December 20181.1.0, April 20235.0, August 20233.3.3, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache version 2
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 languageCJavaC, C++ and CUDAErlang
Server operating systemsOS X
Windows
Linux
OS X
Windows
All OS with a Java VM (>= 1.8)Linux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
Data schemeyesdepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.yesnonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyesyes infovia views
SQL infoSupport of SQLyes infoclose to SQL 92yesSQL-like query languageyesno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Cypher Query Language
JDBC
JDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
C
Java
JavaScript
Python
C
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesyesyesuser defined functions infoin PL/pgSQLView functions in JavaScript
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneno, but can be realized using table inheritancehorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infoimproved architecture with release 2.0
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoIntegration with Hadoop and Sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno infoatomic operations within a single document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infostrategy: optimistic locking
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standardAccess rights for users can be defined per database

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4D infoformer name: 4th DimensionAgensGraphApache IoTDBBrytlytCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"
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