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DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. GeoSpock vs. HBase vs. RethinkDB

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. GeoSpock vs. HBase vs. RethinkDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonHBase  Xexclude from comparisonRethinkDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded 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 networksSpatial and temporal data processing engine for extreme data scaleWide-column store based on Apache Hadoop and on concepts of BigTableDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSWide column storeDocument store
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.74
Rank#105  Overall
#19  Document stores
Websitephoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.comhbase.apache.orgrethinkdb.com
Technical documentationphoenix.apache.orghbase.apache.org/­book.htmlrethinkdb.com/­docs
DeveloperApache Software FoundationAtos Convergence CreatorsGeoSpockApache Software Foundation infoApache top-level project, originally developed by PowersetThe Linux Foundation infosince July 2017
Initial release2014201620082009
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201917032.0, September 20192.3.4, January 20212.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, JavascriptJavaC++
Server operating systemsLinux
Unix
Windows
LinuxhostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesoptionalyesoptions to bring your own types, AVROyes infostring, binary, float, bool, date, geometry
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.noyesnonono
Secondary indexesyesyestemporal, categoricalnoyes
SQL infoSupport of SQLyesnoANSI SQL for query only (using Presto)nono
APIs and other access methodsJDBCLDAPJDBCJava API
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsC
C#
C++
Groovy
Java
PHP
Python
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresuser defined functionsnonoyes infoCoprocessors in Java
TriggersnoyesnoyesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionAutomatic shardingShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoSingle row ACID (across millions of columns)Atomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC based
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.yesyesnoyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationAccess rights for users can be defined per tableAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes infousers and table-level permissions

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Apache PhoenixAtos Standard Common RepositoryGeoSpockHBaseRethinkDB
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