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DBMS > Amazon DocumentDB vs. dBASE vs. Microsoft Azure AI Search

System Properties Comparison Amazon DocumentDB vs. dBASE vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisondBASE  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database servicedBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Search-as-a-service for web and mobile app development
Primary database modelDocument storeRelational DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websiteaws.amazon.com/­documentdbwww.dbase.comazure.microsoft.com/­en-us/­services/­search
Technical documentationaws.amazon.com/­documentdb/­resourceswww.dbase.com/­support/­knowledgebaselearn.microsoft.com/­en-us/­azure/­search
DeveloperAsthon TateMicrosoft
Initial release201919792015
Current releasedBASE 2019, 2019V1
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
hosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnonono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)none infoThe IDE can access other DBMS or ODBC-sources.RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
dBase proprietary IDEC#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.no
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesyes infousing Azure authentication

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More resources
Amazon DocumentDBdBASEMicrosoft Azure AI Search
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