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

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

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonGridDB  Xexclude from comparisonLevelDB  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 DataEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesApplication development environment with integrated database management system
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Time Series DBMSKey-value storeRelational 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
Score2.33
Rank#111  Overall
#19  Key-value stores
Score3.69
Rank#78  Overall
#42  Relational DBMS
Score1.04
Rank#184  Overall
#84  Relational DBMS
Websitearcadedb.comgriddb.netgithub.com/­google/­leveldbwww.progress.com/­openedgewww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdocs.arcadedb.comdocs.griddb.netgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperArcade DataToshiba CorporationGoogleProgress Software CorporationOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20212013201119841984
Current releaseSeptember 20215.1, August 20221.23, February 2021OpenEdge 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 availableOpen Source infoBSDcommercialcommercial
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++C++
Server operating systemsAll OS with a Java VMLinuxIllumos
Linux
OS X
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, timestampnoyesyes
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.nononoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query language, no joinsSQL92, SQL-like TQL (Toshiba Query Language)noyes 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
Supported programming languagesJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnonoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneSource-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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelnoACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users can be defined per databasenoUsers and groups

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More resources
ArcadeDBGridDBLevelDBOpenEdgeOracle Rdb
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