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DBMS > Alibaba Cloud MaxCompute vs. Apache Druid vs. Apache Phoenix vs. Citus vs. Percona Server for MongoDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Druid vs. Apache Phoenix vs. Citus vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Druid  Xexclude from comparisonApache Phoenix  Xexclude from comparisonCitus  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitewww.alibabacloud.com/­product/­maxcomputedruid.apache.orgphoenix.apache.orgwww.citusdata.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedruid.apache.org/­docs/­latest/­designphoenix.apache.orgdocs.citusdata.comdocs.percona.com/­percona-distribution-for-mongodb
DeveloperAlibabaApache Software Foundation and contributorsApache Software FoundationPercona
Initial release20162012201420102015
Current release29.0.1, April 20245.0-HBase2, July 2018 and 4.15-HBase1, December 20198.1, December 20183.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoAGPL, commercial license also availableOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaCC++
Server operating systemshostedLinux
OS X
Unix
Linux
Unix
Windows
LinuxLinux
Data schemeyesyes infoschema-less columns are supportedyes infolate-bound, schema-on-read capabilitiesyesschema-free
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.nononoyes infospecific XML type available, but no XML query functionalityno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL for queryingyesyes infostandard, with numerous extensionsno
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
RESTful HTTP/JSON API
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
proprietary protocol using JSON
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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 functions infoin Javanouser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.JavaScript
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basedShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
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.nonoyesnoyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Alibaba Cloud MaxComputeApache DruidApache PhoenixCitusPercona Server for MongoDB
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