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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. etcd vs. FileMaker vs. Hive

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. etcd vs. FileMaker vs. Hive

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonetcd  Xexclude from comparisonFileMaker  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 networksA distributed reliable key-value storeFileMaker is a cross-platform RDBMS that includes a GUI frontend.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument storeDocument store
Key-value store
Key-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score7.03
Rank#54  Overall
#5  Key-value stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositoryetcd.io
github.com/­etcd-io/­etcd
www.claris.com/­filemakerhive.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourcesetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.claris.com/­resources/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAtos Convergence CreatorsClaris infoa subsidiary of AppleApache Software Foundation infoinitially developed by Facebook
Initial release2019201619832012
Current release17033.4, August 201919.4.1, November 20213.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava
Server operating systemshostedLinuxFreeBSD
Linux
Windows infoexperimental
iOS infoclient part only
Linux
OS X
Windows
All OS with a Java VM
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalnoyesyes
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.noyesnoyes infoA http query request can return the data in XML format
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnononoyes infovia pluginsSQL-like DML and DDL statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPgRPC
JSON over HTTP
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
PHPC++
Java
PHP
Python
Server-side scripts infoStored proceduresnononoyesyes infouser defined functions and integration of map-reduce
Triggersnoyesyes, watching key changesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replication, warm standby infosince Version 14selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes 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 possiblenonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsnonono
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.yesno
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationnosimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles

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More resources
Amazon DocumentDBAtos Standard Common RepositoryetcdFileMakerHive
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