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DBMS > Apache Doris vs. Dragonfly vs. Drizzle vs. PouchDB

System Properties Comparison Apache Doris vs. Dragonfly vs. Drizzle vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDragonfly  Xexclude from comparisonDrizzle  Xexclude from comparisonPouchDB  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.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.JavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSKey-value storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score0.44
Rank#255  Overall
#38  Key-value stores
Score2.18
Rank#114  Overall
#21  Document stores
Websitedoris.apache.org
github.com/­apache/­doris
github.com/­dragonflydb/­dragonfly
www.dragonflydb.io
pouchdb.com
Technical documentationgithub.com/­apache/­doris/­wikiwww.dragonflydb.io/­docspouchdb.com/­guides
DeveloperApache Software Foundation, originally contributed from BaiduDragonflyDB team and community contributorsDrizzle project, originally started by Brian AkerApache Software Foundation
Initial release2017202320082012
Current release1.2.2, February 20231.0, March 20237.2.4, September 20127.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSL 1.1Open Source infoGNU GPLOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++JavaScript
Server operating systemsLinuxLinuxFreeBSD
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesscheme-freeyesschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesno
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 indexesyesnoyesyes infovia views
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsno
APIs and other access methodsJDBC
MySQL client
Proprietary protocol infoRESP - REdis Serialization ProtocolJDBCHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesJavaC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C
C++
Java
PHP
JavaScript
Server-side scripts infoStored proceduresuser defined functionsLuanoView functions in JavaScript
Triggersnopublish/subscribe channels provide some trigger functionalityno infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPassword-based authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPno

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More resources
Apache DorisDragonflyDrizzlePouchDB
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Recent citations in the news

Migrating from ClickHouse to Apache Doris: Boosting OLAP Performance
9 October 2023, hackernoon.com

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

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DragonflyDB Raises $21M in Funding
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