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DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. Faircom EDGE vs. InterSystems Caché vs. YTsaurus

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. Faircom EDGE vs. InterSystems Caché vs. YTsaurus

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonYTsaurus  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 scale-out RDBMS with evolutionary schema built on Apache HBaseHighly 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 serverYTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSDocument store
Key-value store
Key-value store
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitephoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.faircom.com/­products/­faircom-edgewww.intersystems.com/­products/­cacheytsaurus.tech
Technical documentationphoenix.apache.orgdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.intersystems.comytsaurus.tech/­docs/­en
DeveloperApache Software FoundationAtos Convergence CreatorsFairCom CorporationInterSystemsYandex
Initial release20142016197919972023
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191703V3, October 20202018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoRestricted, free version availablecommercialOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaANSI C, C++C++
Server operating systemsLinux
Unix
Windows
LinuxAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Ubuntu
Data schemeyes infolate-bound, schema-on-read capabilitiesSchema 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 Typesyesyes
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.noyesyesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyes infoANSI SQL queriesyesYQL, an SQL-based language, is supported
APIs and other access methodsJDBCLDAPADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
Java
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes info.Net, JavaScript, C/C++yes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionFile partitioning infoCustomizable business rules for partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate 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 dataACIDAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
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.yesyesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and rolesAccess Control Lists

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More resources
Apache PhoenixAtos Standard Common RepositoryFaircom EDGE infoformerly c-treeEDGEInterSystems CachéYTsaurus
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