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DBMS > Amazon CloudSearch vs. Faircom EDGE vs. OpenQM vs. Oracle NoSQL vs. Yanza

System Properties Comparison Amazon CloudSearch vs. Faircom EDGE vs. OpenQM vs. Oracle NoSQL vs. Yanza

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 environmentsQpenQM is a high-performance, self-tuning, multi-value DBMSA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesTime Series DBMS for IoT Applications
Primary database modelSearch engineKey-value store
Relational DBMS
Multivalue DBMSDocument store
Key-value store
Relational DBMS
Time Series 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
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.faircom.com/­products/­faircom-edgewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.oracle.com/­database/­nosql/­technologies/­nosqlyanza.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperAmazonFairCom CorporationRocket Software, originally Martin PhillipsOracleYanza
Initial release20121979199320112015
Current releaseV3, October 20203.4-1223.3, December 2023
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++Java
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Solaris SPARC/x86
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes infowith some exceptionsSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesoptionalno
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.yesyesnono
Secondary indexesyes infoall search fields are automatically indexedyesyesyesno
SQL infoSupport of SQLnoyes infoANSI SQL queriesnoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP API
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
Basic
C
Java
Objective C
PHP
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesnono
Triggersnoyesyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredFile partitioning infoCustomizable business rules for partitioningyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoSynchronous and asynchronous realtime replication based on transaction logsyesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
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.yesyes infooff heap cache
User concepts infoAccess controlauthentication via encrypted signaturesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights can be defined down to the item levelAccess rights for users and rolesno

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More resources
Amazon CloudSearchFaircom EDGE infoformerly c-treeEDGEOpenQM infoalso called QMOracle NoSQLYanza
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