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DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. Databend vs. GBase vs. Percona Server for MongoDB

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. Databend vs. GBase vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatabend  Xexclude from comparisonGBase  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
This system has been discontinued and will be 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 networksAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitephoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­datafuselabs/­databend
www.databend.com
www.gbase.cnwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationphoenix.apache.orgdocs.databend.comdocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software FoundationAtos Convergence CreatorsDatabend LabsGeneral Data Technology Co., Ltd.Percona
Initial release20142016202120042015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201917031.0.59, April 2023GBase 8a, GBase 8s, GBase 8c3.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaRustC, Java, PythonC++
Server operating systemsLinux
Unix
Windows
Linuxhosted
Linux
macOS
LinuxLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesnoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesnoyesStandard with numerous extensionsno
APIs and other access methodsJDBCLDAPCLI Client
JDBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
Rust
C#Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresuser defined functionsnonouser defined functionsJavaScript
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionnonehorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesyes infovia In-Memory Engine
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationUsers with fine-grained authorization concept, user rolesyesAccess rights for users and roles

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More resources
Apache PhoenixAtos Standard Common RepositoryDatabendGBasePercona Server for MongoDB
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