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DBMS > Adabas vs. DolphinDB vs. FatDB vs. GridDB

System Properties Comparison Adabas vs. DolphinDB vs. FatDB vs. GridDB

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDolphinDB  Xexclude from comparisonFatDB  Xexclude from comparisonGridDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Scalable in-memory time series database optimized for IoT and Big Data
Primary database modelMultivalue DBMSTime Series DBMSDocument store
Key-value store
Time Series DBMS
Secondary database modelsRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.dolphindb.comgriddb.net
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.griddb.net
DeveloperSoftware AGDolphinDB, IncFatCloudToshiba Corporation
Initial release1971201820122013
Current releasev2.00.4, January 20225.1, August 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
Windows
WindowsLinux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestamp
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query languageno infoVia inetgration in SQL ServerSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesNaturalC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresin Naturalyesyes infovia applicationsno
Triggersnonoyes infovia applicationsyes
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 Replicatoryesselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID at container level
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.noyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Administrators, Users, Groupsno infoCan implement custom security layer via applicationsAccess rights for users can be defined per database
More information provided by the system vendor
Adabas infodenotes "adaptable data base"DolphinDBFatDBGridDB
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"DolphinDBFatDBGridDB
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