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DBMS > Drizzle vs. PouchDB vs. Prometheus vs. Riak KV vs. searchxml

System Properties Comparison Drizzle vs. PouchDB vs. Prometheus vs. Riak KV vs. searchxml

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonPouchDB  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak KV  Xexclude from comparisonsearchxml  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.JavaScript DBMS with an API inspired by CouchDBOpen-source Time Series DBMS and monitoring systemDistributed, fault tolerant key-value storeDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSDocument storeTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.34
Rank#112  Overall
#21  Document stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitepouchdb.comprometheus.iowww.searchxml.net/­category/­products
Technical documentationpouchdb.com/­guidesprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.searchxml.net/­support/­handouts
DeveloperDrizzle project, originally started by Brian AkerApache Software FoundationOpenSource, formerly Basho Technologiesinformationpartners gmbh
Initial release20082012201520092015
Current release7.2.4, September 20127.1.1, June 20193.2.0, December 20221.0
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen SourceOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise editioncommercial
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 languageC++JavaScriptGoErlangC++
Server operating systemsFreeBSD
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoNumeric data onlynoyes
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.nono infoImport of XML data possiblenoyes
Secondary indexesyesyes infovia viewsnorestrictedyes
SQL infoSupport of SQLyes infowith proprietary extensionsnononono
APIs and other access methodsJDBCHTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C++
Java
PHP
JavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoView functions in JavaScriptnoErlangyes infoon the application server
Triggersno infohooks for callbacks inside the server can be used.yesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeShardingSharding infono "single point of failure"none
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 infoby Federationselectable replication factoryes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnonoyes, using Riak SecurityDomain, group and role-based access control at the document level and for application services

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More resources
DrizzlePouchDBPrometheusRiak KVsearchxml
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