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DBMS > Amazon DocumentDB vs. FileMaker vs. GridDB vs. Hive vs. mSQL

System Properties Comparison Amazon DocumentDB vs. FileMaker vs. GridDB vs. Hive vs. mSQL

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFileMaker  Xexclude from comparisonGridDB  Xexclude from comparisonHive  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFileMaker is a cross-platform RDBMS that includes a GUI frontend.Scalable in-memory time series database optimized for IoT and Big Datadata warehouse software for querying and managing large distributed datasets, built on HadoopmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational 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
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.claris.com/­filemakergriddb.nethive.apache.orghughestech.com.au/­products/­msql
Technical documentationaws.amazon.com/­documentdb/­resourceswww.claris.com/­resources/­documentationdocs.griddb.netcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperClaris infoa subsidiary of AppleToshiba CorporationApache Software Foundation infoinitially developed by FacebookHughes Technologies
Initial release20191983201320121994
Current release19.4.1, November 20215.1, August 20223.1.3, April 20224.4, October 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2commercial infofree licenses can be provided
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 languageC++JavaC
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
LinuxAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLnoyes infovia pluginsSQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
PHPC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresnoyesnoyes infouser defined functions and integration of map-reduceno
Triggersnoyesyesnono
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 14Source-replica replicationselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistencynone
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 operationsnoACID at container levelnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
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 rolessimple rights management via user accounts and connection to external directory servicesAccess rights for users can be defined per databaseAccess rights for users, groups and rolesno
More information provided by the system vendor
Amazon DocumentDBFileMakerGridDBHivemSQL infoMini SQL
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DocumentDBFileMakerGridDBHivemSQL infoMini SQL
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