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DBMS > Drizzle vs. HarperDB vs. PouchDB vs. RethinkDB

System Properties Comparison Drizzle vs. HarperDB vs. PouchDB vs. RethinkDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHarperDB  Xexclude from comparisonPouchDB  Xexclude from comparisonRethinkDB  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.JavaScript DBMS with an API inspired by CouchDBDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSDocument storeDocument storeDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#244  Overall
#38  Document stores
Score2.34
Rank#112  Overall
#21  Document stores
Score2.66
Rank#107  Overall
#20  Document stores
Websitewww.harperdb.iopouchdb.comrethinkdb.com
Technical documentationdocs.harperdb.io/­docspouchdb.com/­guidesrethinkdb.com/­docs
DeveloperDrizzle project, originally started by Brian AkerHarperDBApache Software FoundationThe Linux Foundation infosince July 2017
Initial release2008201720122009
Current release7.2.4, September 20123.1, August 20217.1.1, June 20192.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infofree community edition availableOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Node.jsJavaScriptC++
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesdynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesnoyes infostring, binary, float, bool, date, geometry
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.nonono
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like data manipulation statementsnono
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C++
Java
PHP
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
JavaScriptC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1View functions in JavaScript
Triggersno infohooks for callbacks inside the server can be used.noyesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding infowith a proxy-based framework, named couchdb-loungeSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyes, using LMDByes 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 controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesnoyes infousers and table-level permissions

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More resources
DrizzleHarperDBPouchDBRethinkDB
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