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DBMS > InterSystems IRIS vs. Milvus vs. MongoDB

System Properties Comparison InterSystems IRIS vs. Milvus vs. MongoDB

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Editorial information provided by DB-Engines
NameInterSystems IRIS  Xexclude from comparisonMilvus  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA DBMS designed for efficient storage of vector data and vector similarity searchesOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Multivalue DBMSDocument store
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#131  Overall
#21  Document stores
#23  Key-value stores
#2  Object oriented DBMS
#65  Relational DBMS
Score0.28
Rank#271  Overall
#11  Multivalue DBMS
Score493.55
Rank#5  Overall
#1  Document stores
Websitewww.intersystems.com/­products/­intersystems-irismilvus.iowww.mongodb.com
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsmilvus.io/­docs/­overview.mddocs.mongodb.com/­manual
DeveloperInterSystemsMongoDB, Inc
Initial release201820192009
Current release2021.1, June 20211.0, March 20215.0, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsAIX
Linux
macOS
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemedepending on used data modelschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.yesno
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnoRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIproprietary protocol using JSON
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresyesnoJavaScript
Triggersyesnoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlyesnoAccess rights for users and roles
More information provided by the system vendor
InterSystems IRISMilvusMongoDB
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
InterSystems IRISMilvusMongoDB
DB-Engines blog posts

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4 January 2021, Paul Andlinger, Matthias Gelbmann

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Conferences and events

MongoDB & Google Cloud Developer Summit
Virtual Event, 28 October 2021

MongoDB.Local London
London, 9 November 2021

Finished events

Introduction to MongoDB
Webinar, on demand, 27 July 2021 (finished)

Recent citations in the news

InterSystems IRIS® FHIR® Accelerator Service Enables Easy Retrieval and Storage of Healthcare Data
20 September 2021, Business Wire

InterSystems announces IRIS FHIR Accelerator Service
23 September 2021, Healthcare IT News

Latest Release of InterSystems IRIS Data Platform Provides Next Step in Data Fabric Adoption
17 June 2021, Business Wire

InterSystems IRIS Data Platform Available as Fully Managed Service for AWS
17 March 2021, Business Wire

Interview: InterSystems, Cloud Awards finalist
20 September 2021, www.computing.co.uk

provided by Google News

What Is Vector Similarity Search? | Business Applications of Vector Search
11 August 2021, CIO Insight

Milvus, the AI Search Engine, Originally Developed by Zilliz Joins LF AI as New Incubation Project
10 April 2020, PRNewswire

5 AI startups leading MLops
21 June 2021, InfoWorld

LF AI & Data gets new incubator projects to simplify distributed learning • DEVCLASS
20 July 2021, DevClass

Zilliz Raises $43M to Build AI-powered Unstructured Data
16 November 2020, GlobeNewswire

provided by Google News

Growth Stocks To Watch: Tech Stock MongoDB Offers Alternative Entry; Is It A Buy?
14 October 2021, Investor's Business Daily

How to Create Documents in MongoDB
13 October 2021, MakeUseOf

How MongoDB Beat Amazon
8 October 2021, The Motley Fool

MongoDB revenue chief sells 10K shares
13 October 2021, Seeking Alpha

Why MongoDB Stock Is Falling Today
4 October 2021, Motley Fool

provided by Google News

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