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DBMS > MySQL vs. PouchDB vs. Spark SQL

System Properties Comparison MySQL vs. PouchDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionWidely used open source RDBMSJavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMS infoKey/Value like access via memcached APIDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1195.45
Rank#2  Overall
#2  Relational DBMS
Score3.52
Rank#100  Overall
#20  Document stores
Score19.74
Rank#36  Overall
#22  Relational DBMS
Websitewww.mysql.compouchdb.comspark.apache.org/­sql
Technical documentationdev.mysql.com/­docpouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperOracle infosince 2010, originally MySQL AB, then SunApache Software FoundationApache Software Foundation
Initial release199520122014
Current release8.0.32, January 20237.1.1, June 20193.3.0 ( 2.13), June 2022
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaScriptScala
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.yesnono
Secondary indexesyesyes infovia viewsno
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native API
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScriptJava
Python
R
Scala
Server-side scripts infoStored proceduresyes infoproprietary syntaxView functions in JavaScriptno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage enginenono
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesnono

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