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DBMS > ArcadeDB vs. GridDB vs. jBASE vs. OpenEdge vs. Oracle Rdb

System Properties Comparison ArcadeDB vs. GridDB vs. jBASE vs. OpenEdge vs. Oracle Rdb

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonGridDB  Xexclude from comparisonjBASE  Xexclude from comparisonOpenEdge  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenScalable in-memory time series database optimized for IoT and Big DataA robust multi-value DBMS comprising development tools and middlewareApplication development environment with integrated database management system
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Time Series DBMSMultivalue DBMSRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#374  Overall
#52  Document stores
#38  Graph DBMS
#56  Key-value stores
#38  Time Series DBMS
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score3.69
Rank#78  Overall
#42  Relational DBMS
Score1.04
Rank#184  Overall
#84  Relational DBMS
Websitearcadedb.comgriddb.netwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.progress.com/­openedgewww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdocs.arcadedb.comdocs.griddb.netdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9documentation.progress.com/­output/­ua/­OpenEdge_latestwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperArcade DataToshiba CorporationRocket Software (formerly Zumasys)Progress Software CorporationOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20212013199119841984
Current releaseSeptember 20215.1, August 20225.7OpenEdge 12.2, March 20207.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercialcommercial
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 languageJavaC++
Server operating systemsAll OS with a Java VMLinuxAIX
Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
HP Open VMS
Data schemeschema-freeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampoptionalyesyes
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.nonoyesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language, no joinsSQL92, SQL-like TQL (Toshiba Query Language)Embedded SQL for jBASE in BASICyes infoclose to SQL 92yes
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
Supported programming languagesJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnoyesyes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACIDACIDyes, on a single node
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.yesyesnono
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights can be defined down to the item levelUsers and groups

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More resources
ArcadeDBGridDBjBASEOpenEdgeOracle Rdb
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