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DBMS > Adabas vs. GridDB vs. Hypertable vs. Sequoiadb vs. Yaacomo

System Properties Comparison Adabas vs. GridDB vs. Hypertable vs. Sequoiadb vs. Yaacomo

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGridDB  Xexclude from comparisonHypertable  Xexclude from comparisonSequoiadb  Xexclude from comparisonYaacomo  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformScalable in-memory time series database optimized for IoT and Big DataAn open source BigTable implementation based on distributed file systems such as HadoopNewSQL database with distributed OLTP and SQLOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelMultivalue DBMSTime Series DBMSWide column storeDocument store
Relational DBMS
Relational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.64
Rank#104  Overall
#1  Multivalue DBMS
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score0.42
Rank#263  Overall
#41  Document stores
#121  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgriddb.netwww.sequoiadb.comyaacomo.com
Technical documentationdocs.griddb.netwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperSoftware AGToshiba CorporationHypertable Inc.Sequoiadb Ltd.Q2WEB GmbH
Initial release19712013200920132009
Current release5.1, August 20220.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
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
LinuxLinux
OS X
Windows infoan inofficial Windows port is available
LinuxAndroid
Linux
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampnoyes infooid, date, timestamp, binary, regexyes
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 indexesyesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL92, SQL-like TQL (Toshiba Query Language)noSQL-like query languageyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
C++ API
Thrift
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesNaturalC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresin NaturalnonoJavaScript
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorSource-replica replicationselectable replication factor on file system levelSource-replica replicationSource-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 jobsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelnoDocument is locked during a transactionACID
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.noyesnoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users can be defined per databasenosimple password-based access controlfine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"GridDBHypertableSequoiadbYaacomo
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