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DBMS > Adabas vs. Atos Standard Common Repository vs. GridGain vs. Microsoft Azure AI Search vs. SQL.JS

System Properties Comparison Adabas vs. Atos Standard Common Repository vs. GridGain vs. Microsoft Azure AI Search vs. SQL.JS

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSQL.JS  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGridGain is an in-memory computing platform, built on Apache IgniteSearch-as-a-service for web and mobile app developmentPort of SQLite to JavaScript
Primary database modelMultivalue DBMSDocument store
Key-value store
Key-value store
Relational DBMS
Search engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gridgain.comazure.microsoft.com/­en-us/­services/­searchsql.js.org
Technical documentationwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­en-us/­azure/­searchsql.js.org/­documentation/­index.html
DeveloperSoftware AGAtos Convergence CreatorsGridGain Systems, Inc.MicrosoftAlon Zakai infoenhancements implemented by others
Initial release19712016200720152012
Current release1703GridGain 8.5.1V1
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetJavaScript
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxLinux
OS X
Solaris
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoANSI-99 for query and DML statements, subset of DDLnoyes infoSQL-92 is not fully supported
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
LDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIJavaScript API
Supported programming languagesNaturalAll languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
JavaScript
Server-side scripts infoStored proceduresin Naturalnoyes (compute grid and cache interceptors can be used instead)nono
Triggersnoyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infocell divisionShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryesyes (replicated cache)yes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)LDAP bind authenticationSecurity Hooks for custom implementationsyes infousing Azure authenticationno

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More resources
Adabas infodenotes "adaptable data base"Atos Standard Common RepositoryGridGainMicrosoft Azure AI SearchSQL.JS
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