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DBMS > Adabas vs. Amazon DocumentDB vs. GeoSpock vs. Microsoft Azure AI Search vs. Postgres-XL

System Properties Comparison Adabas vs. Amazon DocumentDB vs. GeoSpock vs. Microsoft Azure AI Search vs. Postgres-XL

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostgres-XL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSpatial and temporal data processing engine for extreme data scaleSearch-as-a-service for web and mobile app developmentBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelMultivalue DBMSDocument storeRelational DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMSVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score1.91
Rank#131  Overall
#24  Document stores
Score5.52
Rank#59  Overall
#6  Search engines
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlaws.amazon.com/­documentdbgeospock.comazure.microsoft.com/­en-us/­services/­searchwww.postgres-xl.org
Technical documentationaws.amazon.com/­documentdb/­resourceslearn.microsoft.com/­en-us/­azure/­searchwww.postgres-xl.org/­documentation
DeveloperSoftware AGGeoSpockMicrosoft
Initial release1971201920152014 infosince 2012, originally named StormDB
Current release2.0, September 2019V110 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedhostedhostedLinux
macOS
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes infoXML type, but no XML query functionality
Secondary indexesyesyestemporal, categoricalyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoANSI SQL for query only (using Presto)noyes infodistributed, parallel query execution
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
proprietary protocol using JSON (MongoDB compatible)JDBCRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesNaturalGo
Java
JavaScript (Node.js)
PHP
Python
C#
Java
JavaScript
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresin Naturalnononouser defined functions
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneAutomatic shardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsnonoACID infoMVCC
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.nononono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users and rolesAccess rights for users can be defined per tableyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"Amazon DocumentDBGeoSpockMicrosoft Azure AI SearchPostgres-XL
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