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DBMS > Apache Phoenix vs. Percona Server for MongoDB vs. Postgres-XL vs. Prometheus

System Properties Comparison Apache Phoenix vs. Percona Server for MongoDB vs. Postgres-XL vs. Prometheus

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.93
Rank#120  Overall
#59  Relational DBMS
Score0.50
Rank#246  Overall
#39  Document stores
Score0.41
Rank#261  Overall
#122  Relational DBMS
Score6.92
Rank#50  Overall
#3  Time Series DBMS
Websitephoenix.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.postgres-xl.orgprometheus.io
Technical documentationphoenix.apache.orgdocs.percona.com/­percona-distribution-for-mongodbwww.postgres-xl.org/­documentationprometheus.io/­docs
DeveloperApache Software FoundationPercona
Initial release201420152014 infosince 2012, originally named StormDB2015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.4.10-2.10, November 201710 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL Version 2Open Source infoMozilla public licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CGo
Server operating systemsLinux
Unix
Windows
LinuxLinux
macOS
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.nonoyes infoXML type, but no XML query functionalityno infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesnoyes infodistributed, parallel query executionno
APIs and other access methodsJDBCproprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON API
Supported programming languagesC
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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsJavaScriptuser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistencynone
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Enginenono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users and rolesfine grained access rights according to SQL-standardno

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Apache PhoenixPercona Server for MongoDBPostgres-XLPrometheus
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