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DBMS > KeyDB vs. Postgres-XL vs. PouchDB vs. searchxml

System Properties Comparison KeyDB vs. Postgres-XL vs. PouchDB vs. searchxml

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Editorial information provided by DB-Engines
NameKeyDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPouchDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresJavaScript DBMS with an API inspired by CouchDBDBMS for structured and unstructured content wrapped with an application server
Primary database modelKey-value storeRelational DBMSDocument storeNative XML DBMS
Search engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#219  Overall
#31  Key-value stores
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Score0.01
Rank#386  Overall
#7  Native XML DBMS
#24  Search engines
Websitegithub.com/­Snapchat/­KeyDB
keydb.dev
www.postgres-xl.orgpouchdb.comwww.searchxml.net/­category/­products
Technical documentationdocs.keydb.devwww.postgres-xl.org/­documentationpouchdb.com/­guideswww.searchxml.net/­support/­handouts
DeveloperEQ Alpha Technology Ltd.Apache Software Foundationinformationpartners gmbh
Initial release20192014 infosince 2012, originally named StormDB20122015
Current release10 R1, October 20187.1.1, June 20191.0
License infoCommercial or Open SourceOpen Source infoBSD-3Open Source infoMozilla public licenseOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaScriptC++
Server operating systemsLinuxLinux
macOS
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesnoyes
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.noyes infoXML type, but no XML query functionalitynoyes
Secondary indexesyes infoby using the Redis Search moduleyesyes infovia viewsyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionnono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScriptC++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresLuauser defined functionsView functions in JavaScriptyes infoon the application server
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infowith a proxy-based framework, named couchdb-loungenone
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
yes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsACID infoMVCCnomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes 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.yesnoyesno
User concepts infoAccess controlsimple password-based access control and ACLfine grained access rights according to SQL-standardnoDomain, group and role-based access control at the document level and for application services

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More resources
KeyDBPostgres-XLPouchDBsearchxml
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