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DBMS > Amazon DocumentDB vs. FileMaker vs. Hive vs. Prometheus vs. SQLite

System Properties Comparison Amazon DocumentDB vs. FileMaker vs. Hive vs. Prometheus vs. SQLite

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFileMaker  Xexclude from comparisonHive  Xexclude from comparisonPrometheus  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFileMaker is a cross-platform RDBMS that includes a GUI frontend.data warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring systemWidely used embeddable, in-process RDBMS
Primary database modelDocument storeRelational DBMSRelational DBMSTime Series DBMSRelational 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
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.claris.com/­filemakerhive.apache.orgprometheus.iowww.sqlite.org
Technical documentationaws.amazon.com/­documentdb/­resourceswww.claris.com/­resources/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docswww.sqlite.org/­docs.html
DeveloperClaris infoa subsidiary of AppleApache Software Foundation infoinitially developed by FacebookDwayne Richard Hipp
Initial release20191983201220152000
Current release19.4.1, November 20213.1.3, April 20223.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoPublic Domain
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 languageJavaGoC
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
All OS with a Java VMLinux
Windows
server-less
Data schemeschema-freeyesyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes infonot rigid because of 'dynamic typing' concept.
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 formatno infoImport of XML data possibleno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyes infovia pluginsSQL-like DML and DDL statementsnoyes infoSQL-92 is not fully supported
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Thrift
RESTful HTTP/JSON APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
PHPC++
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoyesyes infouser defined functions and integration of map-reducenono
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingnone
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 infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infovia file-system locks
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.noyes
User concepts infoAccess controlAccess rights for users and rolessimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and rolesnono

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