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

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

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFileMaker  Xexclude from comparisonGreenplum  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.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument storeDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.claris.com/­filemakergreenplum.orghive.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourceswww.claris.com/­resources/­documentationdocs.greenplum.orgcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAtos Convergence CreatorsClaris infoa subsidiary of ApplePivotal Software Inc.Apache Software Foundation infoinitially developed by Facebook
Initial release20192016198320052012
Current release170319.4.1, November 20217.0.0, September 20233.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedLinuxiOS infoclient part only
Linux
OS X
Windows
LinuxAll OS with a Java VM
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyesyes
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 formatyes infosince Version 4.2
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonoyes infovia pluginsyesSQL-like DML and DDL statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsPHPC
Java
Perl
Python
R
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyesyesyes infouser defined functions and integration of map-reduce
Triggersnoyesyesyesno
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 14Source-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesyes 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 possiblenoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsnoACIDno
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 authenticationsimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standardAccess rights for users, groups and roles

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More resources
Amazon DocumentDBAtos Standard Common RepositoryFileMakerGreenplumHive
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