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DBMS > Amazon CloudSearch vs. Atos Standard Common Repository vs. Faircom EDGE vs. InterSystems Caché vs. ReductStore

System Properties Comparison Amazon CloudSearch vs. Atos Standard Common Repository vs. Faircom EDGE vs. InterSystems Caché vs. ReductStore

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonReductStore  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA multi-model DBMS and application serverDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelSearch engineDocument store
Key-value store
Key-value store
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.faircom.com/­products/­faircom-edgewww.intersystems.com/­products/­cachegithub.com/­reductstore
www.reduct.store
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.intersystems.comwww.reduct.store/­docs
DeveloperAmazonAtos Convergence CreatorsFairCom CorporationInterSystemsReductStore LLC
Initial release20122016197919972023
Current release1703V3, October 20202018.1.4, May 20201.9, March 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infoRestricted, free version availablecommercialOpen Source infoBusiness Source License 1.1
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 languageJavaANSI C, C++C++, Rust
Server operating systemshostedLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeyesSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)depending on used data model
Typing infopredefined data types such as float or dateyesoptionalyes, ANSI Standard SQL Typesyes
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.yesyesyes
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnonoyes infoANSI SQL queriesyes
APIs and other access methodsHTTP APILDAPADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
Java
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++yes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infocell divisionFile partitioning infoCustomizable business rules for partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infowhen using SQLyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
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.yesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesLDAP bind authenticationFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and roles

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More resources
Amazon CloudSearchAtos Standard Common RepositoryFaircom EDGE infoformerly c-treeEDGEInterSystems CachéReductStore
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