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DBMS > EDB Postgres vs. etcd vs. Percona Server for MySQL vs. PouchDB vs. Spark SQL

System Properties Comparison EDB Postgres vs. etcd vs. Percona Server for MySQL vs. PouchDB vs. Spark SQL

Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonetcd  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A distributed reliable key-value storeEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.JavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSKey-value storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score2.10
Rank#119  Overall
#57  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.enterprisedb.cometcd.io
github.com/­etcd-io/­etcd
www.percona.com/­software/­mysql-database/­percona-serverpouchdb.comspark.apache.org/­sql
Technical documentationwww.enterprisedb.com/­docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.percona.com/­downloads/­Percona-Server-LATESTpouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperEnterpriseDBPerconaApache Software FoundationApache Software Foundation
Initial release2005200820122014
Current release14, December 20213.4, August 20198.0.36-28, 20247.1.1, June 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentsOpen Source infoApache Version 2.0Open Source infoGPL version 2Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC and C++JavaScriptScala
Server operating systemsLinux
Windows
FreeBSD
Linux
Windows infoexperimental
Linuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.yes infospecific XML-type available, but no XML query functionality.noyesnono
Secondary indexesyesnoyesyes infovia viewsno
SQL infoSupport of SQLyes infostandard with numerous extensionsnoyesnoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
JSON over HTTP
ADO.NET
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScriptJava
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyesView functions in JavaScriptno
Triggersyesyes, watching key changesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
XtraDB Cluster
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nonoyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept infono user groups or rolesnono

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More resources
EDB PostgresetcdPercona Server for MySQLPouchDBSpark SQL
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