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DBMS > Apache Phoenix vs. MySQL vs. Percona Server for MongoDB vs. QuestDB

System Properties Comparison Apache Phoenix vs. MySQL vs. Percona Server for MongoDB vs. QuestDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonMySQL  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseWidely used open source RDBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached APIDocument storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score1087.72
Rank#2  Overall
#2  Relational DBMS
Score0.55
Rank#253  Overall
#39  Document stores
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Websitephoenix.apache.orgwww.mysql.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbquestdb.io
Technical documentationphoenix.apache.orgdev.mysql.com/­docdocs.percona.com/­percona-distribution-for-mongodbquestdb.io/­docs
DeveloperApache Software FoundationOracle infosince 2010, originally MySQL AB, then SunPerconaQuestDB Technology Inc
Initial release2014199520152014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.3.0, January 20243.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageJavaC and C++C++Java (Zero-GC), C++, Rust
Server operating systemsLinux
Unix
Windows
FreeBSD
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoSQL with time-series extensions
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
Proprietary native API
proprietary protocol using JSONHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
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
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresuser defined functionsyes infoproprietary syntaxJavaScriptno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage enginenoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
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.yesyesyes infovia In-Memory Engineyes infothrough memory mapped files
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users and roles
More information provided by the system vendor
Apache PhoenixMySQLPercona Server for MongoDBQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
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