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DBMS > 4D vs. Brytlyt vs. etcd vs. GridDB vs. InterSystems IRIS

System Properties Comparison 4D vs. Brytlyt vs. etcd vs. GridDB vs. InterSystems IRIS

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonBrytlyt  Xexclude from comparisonetcd  Xexclude from comparisonGridDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA distributed reliable key-value storeScalable in-memory time series database optimized for IoT and Big DataA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.95
Rank#100  Overall
#53  Relational DBMS
Score0.36
Rank#260  Overall
#121  Relational DBMS
Score10.96
Rank#46  Overall
#5  Key-value stores
Score1.27
Rank#151  Overall
#10  Time Series DBMS
Score1.84
Rank#127  Overall
#21  Document stores
#23  Key-value stores
#2  Object oriented DBMS
#62  Relational DBMS
Websitewww.4d.comwww.brytlyt.cometcd.io
github.com/­etcd-io/­etcd
griddb.netwww.intersystems.com/­products/­intersystems-iris
Technical documentationlivedoc.4d.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.griddb.netdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
Developer4D, IncBrytlytToshiba CorporationInterSystems
Initial release1984201620132018
Current releasev18 R5, January 20210.9, October 20163.4, August 20194.6, February 20212021.1, June 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
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 languageC, C++ and CUDAGoC++
Server operating systemsOS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
Windows infoexperimental
LinuxAIX
Linux
macOS
Windows
Data schemeyesyesschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesnoyes 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.yesyes infospecific XML-type available, but no XML query functionality.nonoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yesnoSQL92, SQL-like TQL (Toshiba Query Language)yes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
JSON over HTTP
Proprietary protocolJDBC
ODBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLnonoyes
Triggersyesyesyes, watching key changesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyesyes
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardnoAccess rights for users can be defined per databaseyes
More information provided by the system vendor
4D infoformer name: 4th DimensionBrytlytetcdGridDBInterSystems IRIS
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 DimensionBrytlytetcdGridDBInterSystems IRIS
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