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DBMS > 4D vs. EXASOL vs. Graph Engine vs. GridDB vs. SwayDB

System Properties Comparison 4D vs. EXASOL vs. Graph Engine vs. GridDB vs. SwayDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonEXASOL  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridDB  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A 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 DataAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Key-value store
Time Series DBMSKey-value store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.4d.comwww.exasol.comwww.graphengine.iogriddb.netswaydb.simer.au
Technical documentationdeveloper.4d.comwww.exasol.com/­resourceswww.graphengine.io/­docs/­manualdocs.griddb.net
Developer4D, IncExasolMicrosoftToshiba CorporationSimer Plaha
Initial release19842000201020132018
Current releasev20, April 20235.1, August 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++Scala
Server operating systemsOS X
Windows
.NETLinux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestampno
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.yesnononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92yesnoSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
.Net
JDBC
ODBC
WebSocket
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
Java
Lua
Python
R
C#
C++
F#
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyesuser defined functionsyesnono
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationConnector 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 consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID at container levelAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per databaseno
More information provided by the system vendor
4D infoformer name: 4th DimensionEXASOLGraph Engine infoformer name: TrinityGridDBSwayDB
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 DimensionEXASOLGraph Engine infoformer name: TrinityGridDBSwayDB
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