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DBMS > Amazon CloudSearch vs. Apache Kylin vs. Atos Standard Common Repository vs. Faircom DB vs. Hyprcubd

System Properties Comparison Amazon CloudSearch vs. Apache Kylin vs. Atos Standard Common Repository vs. Faircom DB vs. Hyprcubd

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Kylin  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonHyprcubd  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hyprcubd 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 cloudA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Serverless Time Series DBMS
Primary database modelSearch engineRelational DBMSDocument store
Key-value 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
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Websiteaws.amazon.com/­cloudsearchkylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.faircom.com/­products/­faircom-dbhyprcubd.com (offline)
Technical documentationdocs.aws.amazon.com/­cloudsearchkylin.apache.org/­docsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.html
DeveloperAmazonApache Software Foundation, originally contributed from eBay IncAtos Convergence CreatorsFairCom CorporationHyprcubd, Inc.
Initial release2012201520161979
Current release3.1.0, July 20201703V12, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial infoRestricted, free version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaANSI C, C++Go
Server operating systemshostedLinuxLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
hosted
Data schemeyesyesSchema and schema-less with LDAP viewsschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateyesyesoptionalyes, ANSI SQL Types, JSON, typed binary structuresyes infotime, int, uint, float, string
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.noyesnono
Secondary indexesyes infoall search fields are automatically indexedyesyesyesno
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)noyes, ANSI SQL with proprietary extensionsSQL-like query language
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
LDAPADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
gRPC (https)
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++no
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infocell divisionFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationstunable from ACID to Eventually Consistentno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlauthentication via encrypted signaturesLDAP bind authenticationFine grained access rights according to SQL-standard with additional protections for filestoken access

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More resources
Amazon CloudSearchApache KylinAtos Standard Common RepositoryFaircom DB infoformerly c-treeACEHyprcubd
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