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DBMS > Axibase vs. Dragonfly vs. Geode vs. PouchDB

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

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonDragonfly  Xexclude from comparisonGeode  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationA 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 CouchDB
Primary database modelTime Series DBMSKey-value storeKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#308  Overall
#25  Time Series DBMS
Score0.44
Rank#255  Overall
#38  Key-value stores
Score1.51
Rank#147  Overall
#25  Key-value stores
Score2.18
Rank#114  Overall
#21  Document stores
Websiteaxibase.com/­docs/­atsd/­financegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
geode.apache.orgpouchdb.com
Technical documentationwww.dragonflydb.io/­docsgeode.apache.org/­docspouchdb.com/­guides
DeveloperAxibase CorporationDragonflyDB 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 Foundation
Initial release2013202320022012
Current release155851.0, March 20231.1, February 20177.1.1, June 2019
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoBSL 1.1Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaJavaScript
Server operating systemsLinuxLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesscheme-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringstrings, 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.nononono
Secondary indexesnononoyes infovia views
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (OQL)no
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolJava Client API
Memcached protocol
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C
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 proceduresyesLuauser defined functionsView functions in JavaScript
Triggersyespublish/subscribe channels provide some trigger functionalityyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scriptsyes, on a single nodeno
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.yesyesyes
User concepts infoAccess controlPassword-based authenticationAccess rights per client and object definableno

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AxibaseDragonflyGeodePouchDB
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