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DBMS > Adabas vs. Alibaba Cloud AnalyticDB for MySQL vs. GridDB vs. Hypertable

System Properties Comparison Adabas vs. Alibaba Cloud AnalyticDB for MySQL vs. GridDB vs. Hypertable

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonGridDB  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.Scalable in-memory time series database optimized for IoT and Big DataAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelMultivalue DBMSRelational DBMSTime Series DBMSWide column store
Secondary database modelsDocument storeKey-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
Score0.91
Rank#201  Overall
#94  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.alibabacloud.com/­product/­analyticdb-for-mysqlgriddb.net
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmdocs.griddb.net
DeveloperSoftware AGAlibabaToshiba CorporationHypertable Inc.
Initial release197120132009
Current release5.1, August 20220.9.8.11, March 2016
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampno
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.noyesno
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesSQL92, SQL-like TQL (Toshiba Query Language)no
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
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
C++ API
Thrift
Supported programming languagesNaturalC#
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresin Naturalyesnono
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes infoImplicit feature of the cloud serviceSource-replica replicationselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container levelno
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)fine grained access rights according to SQL-standardAccess rights for users can be defined per databaseno
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Alibaba Cloud AnalyticDB for MySQLGridDBHypertable
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
1. 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 modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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Adabas infodenotes "adaptable data base"Alibaba Cloud AnalyticDB for MySQLGridDBHypertable
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