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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. FileMaker vs. Google Cloud Firestore vs. Hive

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. FileMaker vs. Google Cloud Firestore vs. Hive

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHive  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksFileMaker is a cross-platform RDBMS that includes a GUI frontend.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument storeDocument store
Key-value store
Relational DBMSDocument storeRelational DBMS
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
Score7.36
Rank#53  Overall
#9  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.claris.com/­filemakerfirebase.google.com/­products/­firestorehive.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourceswww.claris.com/­resources/­documentationfirebase.google.com/­docs/­firestorecwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAtos Convergence CreatorsClaris infoa subsidiary of AppleGoogleApache Software Foundation infoinitially developed by Facebook
Initial release20192016198320172012
Current release170319.4.1, November 20213.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedLinuxiOS infoclient part only
Linux
OS X
Windows
hostedAll OS with a Java VM
Data schemeschema-freeSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonoyes infovia pluginsnoSQL-like DML and DDL statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPFilemaker WebDirect
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsPHPGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyesyes, Firebase Rules & Cloud Functionsyes infouser defined functions and integration of map-reduce
Triggersnoyesyesyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesSource-replica replication, warm standby infosince Version 14Multi-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noUsing Cloud Dataflowyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsnoyesno
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.yes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users, groups and roles

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More resources
Amazon DocumentDBAtos Standard Common RepositoryFileMakerGoogle Cloud FirestoreHive
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