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DBMS > Amazon CloudSearch vs. Faircom EDGE vs. FileMaker vs. GridDB

System Properties Comparison Amazon CloudSearch vs. Faircom EDGE vs. FileMaker vs. GridDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFileMaker  Xexclude from comparisonGridDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFileMaker is a cross-platform RDBMS that includes a GUI frontend.Scalable in-memory time series database optimized for IoT and Big Data
Primary database modelSearch engineKey-value store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchwww.faircom.com/­products/­faircom-edgewww.claris.com/­filemakergriddb.net
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.claris.com/­resources/­documentationdocs.griddb.net
DeveloperAmazonFairCom CorporationClaris infoa subsidiary of AppleToshiba Corporation
Initial release2012197919832013
Current releaseV3, October 202019.4.1, November 20215.1, August 2022
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availablecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++C++
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes infonumerical, string, blob, geometry, boolean, timestamp
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.yesyes infoA http query request can return the data in XML formatno
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesyes infovia pluginsSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsHTTP APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
PHPC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesno
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredFile partitioning infoCustomizable business rules for partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication, warm standby infosince Version 14Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynoyes infowhen using SQLyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.simple rights management via user accounts and connection to external directory servicesAccess rights for users can be defined per database
More information provided by the system vendor
Amazon CloudSearchFaircom EDGE infoformerly c-treeEDGEFileMakerGridDB
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 CloudSearchFaircom EDGE infoformerly c-treeEDGEFileMakerGridDB
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