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DBMS > Amazon DocumentDB vs. dBASE vs. Firebase Realtime Database vs. Microsoft Azure Table Storage vs. WakandaDB

System Properties Comparison Amazon DocumentDB vs. dBASE vs. Firebase Realtime Database vs. Microsoft Azure Table Storage vs. WakandaDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisondBASE  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonWakandaDB  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.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A Wide Column Store for rapid development using massive semi-structured datasetsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument storeRelational DBMSDocument storeWide column storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score9.16
Rank#43  Overall
#27  Relational DBMS
Score13.60
Rank#39  Overall
#6  Document stores
Score3.55
Rank#80  Overall
#6  Wide column stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteaws.amazon.com/­documentdbwww.dbase.comfirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­en-us/­services/­storage/­tableswakanda.github.io
Technical documentationaws.amazon.com/­documentdb/­resourceswww.dbase.com/­support/­knowledgebasefirebase.google.com/­docs/­databasewakanda.github.io/­doc
DeveloperAsthon TateGoogle infoacquired by Google 2014MicrosoftWakanda SAS
Initial release20191979201220122012
Current releasedBASE 2019, 20192.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaScript
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
hostedhostedLinux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnonononono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)none infoThe IDE can access other DBMS or ODBC-sources.Android
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIRESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
dBase proprietary IDEJava
JavaScript
Objective-C
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.limited functionality with using 'rules'noyes
TriggersnonoCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud servicenone
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. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnono
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 DBMSyesoptimistic lockingACID
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.nono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesyes, based on authentication and database rulesAccess rights based on private key authentication or shared access signaturesyes

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More resources
Amazon DocumentDBdBASEFirebase Realtime DatabaseMicrosoft Azure Table StorageWakandaDB
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