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DBMS > Adabas vs. Amazon DocumentDB vs. InterSystems Caché vs. Lovefield vs. Microsoft Azure AI Search

System Properties Comparison Adabas vs. Amazon DocumentDB vs. InterSystems Caché vs. Lovefield vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed 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 serviceA multi-model DBMS and application serverEmbeddable relational database for web apps written in pure JavaScriptSearch-as-a-service for web and mobile app development
Primary database modelMultivalue DBMSDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSSearch engine
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlaws.amazon.com/­documentdbwww.intersystems.com/­products/­cachegoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­search
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.intersystems.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­en-us/­azure/­search
DeveloperSoftware AGInterSystemsGoogleMicrosoft
Initial release19712019199720142015
Current release2018.1.4, May 20202.1.12, February 2017V1
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScript
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihosted
Data schemeyesschema-freedepending on used data modelyesyes
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.nonoyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoyesSQL-like query language infovia JavaScript builder patternno
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).NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesNaturalGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Java
JavaScriptC#
Java
JavaScript
Python
Server-side scripts infoStored proceduresin Naturalnoyesnono
TriggersnonoyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanonenonenoneSharding infoImplicit feature of the cloud service
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 replicasSource-replica replicationnoneyes 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 Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDBno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users and rolesAccess rights for users, groups and rolesnoyes infousing Azure authentication

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More resources
Adabas infodenotes "adaptable data base"Amazon DocumentDBInterSystems CachéLovefieldMicrosoft Azure AI Search
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