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DBMS > InterSystems Caché vs. Milvus vs. mSQL vs. PouchDB vs. Prometheus

System Properties Comparison InterSystems Caché vs. Milvus vs. mSQL vs. PouchDB vs. Prometheus

Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonMilvus  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPouchDB  Xexclude from comparisonPrometheus  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverA DBMS designed for efficient storage of vector data and vector similarity searchesmSQL (Mini SQL) is a simple and lightweight RDBMSJavaScript DBMS with an API inspired by CouchDBOpen-source Time Series DBMS and monitoring system
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Vector DBMSRelational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.intersystems.com/­products/­cachemilvus.iohughestech.com.au/­products/­msqlpouchdb.comprometheus.io
Technical documentationdocs.intersystems.commilvus.io/­docs/­overview.mdpouchdb.com/­guidesprometheus.io/­docs
DeveloperInterSystemsHughes TechnologiesApache Software Foundation
Initial release19972019199420122015
Current release2018.1.4, May 20202.3.4, January 20244.4, October 20217.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen SourceOpen Source infoApache 2.0
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 languageC++, GoCJavaScriptGo
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Data schemedepending on used data modelyesschema-freeyes
Typing infopredefined data types such as float or dateyesVector, Numeric and StringyesnoNumeric data only
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.yesnononono infoImport of XML data possible
Secondary indexesyesnoyesyes infovia viewsno
SQL infoSupport of SQLyesnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnono
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
JavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesnonoView functions in JavaScriptno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
noneEventual Consistencynone
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesyesnoyesno
User concepts infoAccess controlAccess rights for users, groups and rolesRole based access control and fine grained access rightsnonono
More information provided by the system vendor
InterSystems CachéMilvusmSQL infoMini SQLPouchDBPrometheus
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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InterSystems CachéMilvusmSQL infoMini SQLPouchDBPrometheus
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