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DBMS > Adabas vs. Apache Doris vs. GridDB vs. OrientDB

System Properties Comparison Adabas vs. Apache Doris vs. GridDB vs. OrientDB

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Doris  Xexclude from comparisonGridDB  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAn MPP-based analytics DBMS embracing the MySQL protocolScalable in-memory time series database optimized for IoT and Big DataMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelMultivalue DBMSRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmldoris.apache.org
github.com/­apache/­doris
griddb.netorientdb.org
Technical documentationgithub.com/­apache/­doris/­wikidocs.griddb.netwww.orientdb.com/­docs/­last/­index.html
DeveloperSoftware AGApache Software Foundation, originally contributed from BaiduToshiba CorporationOrientDB LTD; CallidusCloud; SAP
Initial release1971201720132010
Current release1.2.2, February 20235.1, August 20223.2.29, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxLinuxAll OS with a Java JDK (>= JDK 6)
Data schemeyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyes 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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language, no joins
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
MySQL client
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesNaturalJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresin Naturaluser defined functionsnoJava, Javascript
TriggersnonoyesHooks
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatornoneSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynononoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardAccess rights for users can be defined per databaseAccess rights for users and roles; record level security configurable
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Apache DorisGridDBOrientDB
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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Adabas infodenotes "adaptable data base"Apache DorisGridDBOrientDB
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