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DBMS > Altibase vs. Apache Phoenix vs. CouchDB vs. Percona Server for MongoDB vs. Spark SQL

System Properties Comparison Altibase vs. Apache Phoenix vs. CouchDB vs. Percona Server for MongoDB vs. Spark SQL

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Phoenix  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSA scale-out RDBMS with evolutionary schema built on Apache HBaseA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSDocument storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score0.52
Rank#254  Overall
#39  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitealtibase.comphoenix.apache.orgcouchdb.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbspark.apache.org/­sql
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsphoenix.apache.orgdocs.couchdb.org/­en/­stabledocs.percona.com/­percona-distribution-for-mongodbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAltibaseApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerPerconaApache Software Foundation
Initial release19992014200520152014
Current releasev7.3, 2023, August 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3.3, December 20233.4.10-2.10, November 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0Open Source infoApache version 2Open Source infoGPL Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaErlangC++Scala
Server operating systemsAIX
HP-UX
Linux
Linux
Unix
Windows
Android
BSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonononono
Secondary indexesyesyesyes infovia viewsyesno
SQL infoSupport of SQLANSI SQL-92yesnonoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBCRESTful HTTP/JSON APIproprietary protocol using JSONJDBC
ODBC
Supported programming languagesC
C++
Java
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
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
Java
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsuser defined functionsView functions in JavaScriptJavaScriptno
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoimproved architecture with release 2.0Shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoatomic operations within a single document possiblenono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyesyes
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.yesyesnoyes infovia In-Memory Engineno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per databaseAccess rights for users and rolesno

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More resources
AltibaseApache PhoenixCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Percona Server for MongoDBSpark SQL
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