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DBMS > Badger vs. Ehcache vs. Milvus vs. PouchDB vs. STSdb

System Properties Comparison Badger vs. Ehcache vs. Milvus vs. PouchDB vs. STSdb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEhcache  Xexclude from comparisonMilvus  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A widely adopted Java cache with tiered storage optionsA DBMS designed for efficient storage of vector data and vector similarity searchesJavaScript DBMS with an API inspired by CouchDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeKey-value storeVector DBMSDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitegithub.com/­dgraph-io/­badgerwww.ehcache.orgmilvus.iopouchdb.comgithub.com/­STSSoft/­STSdb4
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.ehcache.org/­documentationmilvus.io/­docs/­overview.mdpouchdb.com/­guides
DeveloperDGraph LabsTerracotta Inc, owned by Software AGApache Software FoundationSTS Soft SC
Initial release20172009201920122011
Current release3.10.0, March 20222.4.4, May 20247.1.1, June 20194.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageGoJavaC++, GoJavaScriptC#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesVector, Numeric and Stringnoyes infoprimitive types and user defined types (classes)
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 viewsno
SQL infoSupport of SQLnonononono
APIs and other access methodsJCacheRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
Supported programming languagesGoJavaC++
Go
Java
JavaScript (Node.js)
Python
JavaScriptC#
Java
Server-side scripts infoStored proceduresnononoView functions in JavaScriptno
Triggersnoyes infoCache Event Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta ServerMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable Consistency (Strong, Eventual, Weak)Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourcenonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes 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.noyesyesyes
User concepts infoAccess controlnonoRole based access control and fine grained access rightsnono
More information provided by the system vendor
BadgerEhcacheMilvusPouchDBSTSdb
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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BadgerEhcacheMilvusPouchDBSTSdb
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