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DBMS > Amazon DocumentDB vs. FileMaker vs. Firebase Realtime Database vs. Hive vs. Microsoft Azure Table Storage

System Properties Comparison Amazon DocumentDB vs. FileMaker vs. Firebase Realtime Database vs. Hive vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFileMaker  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFileMaker is a cross-platform RDBMS that includes a GUI frontend.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.data warehouse software for querying and managing large distributed datasets, built on HadoopA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument storeRelational DBMSDocument storeRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websiteaws.amazon.com/­documentdbwww.claris.com/­filemakerfirebase.google.com/­products/­realtime-databasehive.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationaws.amazon.com/­documentdb/­resourceswww.claris.com/­resources/­documentationfirebase.google.com/­docs/­databasecwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperClaris infoa subsidiary of AppleGoogle infoacquired by Google 2014Apache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release20191983201220122012
Current release19.4.1, November 20213.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
hostedAll OS with a Java VMhosted
Data schemeschema-freeyesschema-freeyesschema-free
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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyes infovia pluginsnoSQL-like DML and DDL statementsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Filemaker WebDirect
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
PHPJava
JavaScript
Objective-C
C++
Java
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyeslimited functionality with using 'rules'yes infouser defined functions and integration of map-reduceno
TriggersnoyesCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding 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 replicasSource-replica replication, warm standby infosince Version 14selectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoyesnooptimistic locking
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.no
User concepts infoAccess controlAccess rights for users and rolessimple rights management via user accounts and connection to external directory servicesyes, based on authentication and database rulesAccess rights for users, groups and rolesAccess rights based on private key authentication or shared access signatures

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More resources
Amazon DocumentDBFileMakerFirebase Realtime DatabaseHiveMicrosoft Azure Table Storage
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