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DBMS > Dragonfly vs. jBASE vs. Milvus vs. PouchDB

System Properties Comparison Dragonfly vs. jBASE vs. Milvus vs. PouchDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonjBASE  Xexclude from comparisonMilvus  Xexclude from comparisonPouchDB  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 instanceA robust multi-value DBMS comprising development tools and middlewareA DBMS designed for efficient storage of vector data and vector similarity searchesJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeMultivalue DBMSVector DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasemilvus.iopouchdb.com
Technical documentationwww.dragonflydb.io/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9milvus.io/­docs/­overview.mdpouchdb.com/­guides
DeveloperDragonflyDB team and community contributorsRocket Software (formerly Zumasys)Apache Software Foundation
Initial release2023199120192012
Current release1.0, March 20235.72.3.4, January 20247.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++C++, GoJavaScript
Server operating systemsLinuxAIX
Linux
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
server-less, requires a JavaScript environment (browser, Node.js)
Data schemescheme-freeschema-freeschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysoptionalVector, Numeric and Stringno
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.noyesnono
Secondary indexesnonoyes infovia views
SQL infoSupport of SQLnoEmbedded SQL for jBASE in BASICnono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
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
Basic
Jabbascript
Java
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresLuayesnoView functions in JavaScript
Triggerspublish/subscribe channels provide some trigger functionalityyesnoyes
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 replicationyesMulti-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 systemEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes
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.yesyesyesyes
User concepts infoAccess controlPassword-based authenticationAccess rights can be defined down to the item levelRole based access control and fine grained access rightsno
More information provided by the system vendor
DragonflyjBASEMilvusPouchDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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DragonflyjBASEMilvusPouchDB
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