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DBMS > Dragonfly vs. Geode vs. PouchDB vs. SiteWhere

System Properties Comparison Dragonfly vs. Geode vs. PouchDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGeode  Xexclude from comparisonPouchDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesJavaScript DBMS with an API inspired by CouchDBM2M integration platform for persisting/querying time series data
Primary database modelKey-value storeKey-value storeDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
geode.apache.orgpouchdb.comgithub.com/­sitewhere/­sitewhere
Technical documentationwww.dragonflydb.io/­docsgeode.apache.org/­docspouchdb.com/­guidessitewhere1.sitewhere.io/­index.html
DeveloperDragonflyDB team and community contributorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software FoundationSiteWhere
Initial release2023200220122010
Current release1.0, March 20231.1, February 20177.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache Version 2; commercial licenses available as GemfireOpen SourceOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaScriptJava
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemescheme-freeschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesnoyes
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.nononono
Secondary indexesnonoyes infovia viewsno
SQL infoSupport of SQLnoSQL-like query language (OQL)nono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJava Client API
Memcached protocol
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP REST
Supported programming languagesC
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
.Net
All JVM based languages
C++
Groovy
Java
Scala
JavaScript
Server-side scripts infoStored proceduresLuauser defined functionsView functions in JavaScript
Triggerspublish/subscribe channels provide some trigger functionalityyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsyes, on a single nodenono
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyesyes 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.yesyesyesno
User concepts infoAccess controlPassword-based authenticationAccess rights per client and object definablenoUsers with fine-grained authorization concept

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More resources
DragonflyGeodePouchDBSiteWhere
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