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

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

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseA 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 DBMSDocument storeRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitealtibase.comaws.amazon.com/­documentdbphoenix.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbspark.apache.org/­sql
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgdocs.percona.com/­percona-distribution-for-mongodbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAltibaseApache Software FoundationPerconaApache Software Foundation
Initial release19992019201420152014
Current releasev7.3, 2023, August 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20193.4.10-2.10, November 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoApache Version 2.0Open Source infoGPL Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++Scala
Server operating systemsAIX
HP-UX
Linux
hostedLinux
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesno
SQL infoSupport of SQLANSI SQL-92noyesnoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Proprietary protocol
proprietary protocol using JSON (MongoDB compatible)JDBCproprietary protocol using JSONJDBC
ODBC
Supported programming languagesC
C++
Java
Go
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
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 functionsnouser defined functionsJavaScriptno
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsACIDnono
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 Engineno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users and rolesno

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More resources
AltibaseAmazon DocumentDBApache PhoenixPercona Server for MongoDBSpark SQL
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