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DBMS > Milvus vs. MongoDB vs. SiriDB

System Properties Comparison Milvus vs. MongoDB vs. SiriDB

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonMongoDB  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionA 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 infrastructureOpen Source Time Series DBMS
Primary database modelSearch engineDocument storeTime Series DBMS
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
Score0.66
Rank#244  Overall
#16  Search engines
Score469.33
Rank#5  Overall
#1  Document stores
Score0.19
Rank#330  Overall
#29  Time Series DBMS
Websitemilvus.iowww.mongodb.comsiridb.com
Technical documentationmilvus.io/­docs/­overview.mddocs.mongodb.com/­manualdocs.siridb.com
DeveloperMongoDB, IncCesbit
Initial release201920092017
Current release2.0, January 20226.0.1, August 2022
License infoCommercial or Open SourceOpen 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.Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, GoC++C
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-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.yes
Typing infopredefined data types such as float or dateNumeric and Stringyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes infoNumeric data
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsRESTful HTTP APIproprietary protocol using JSONHTTP API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
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
C
C++
Go
Python
Server-side scripts infoStored proceduresnoJavaScriptno
Triggersnoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlnoAccess rights for users and rolessimple rights management via user accounts
More information provided by the system vendor
MilvusMongoDBSiriDB
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 scenariosVideo media : video understanding, video deduplication. E-commerce and mobile applications...
» more
Key customersMilvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more
Market metricsAs of Oct 2022, 14k+ GitHub stars 2M+ downloads and installations 1000+ 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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More resources
MilvusMongoDBSiriDB
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Recent citations in the news

Zilliz Unfurls Managed Vector Database Service
29 November 2022, DevOps.com

Zilliz raises $60M for open source Milvus vector database
24 August 2022, TechTarget

insideBIGDATA Latest News – 11/2/2022
2 November 2022, insideBIGDATA

Zilliz Announces Key Contributions to Milvus 2.1, the Leading Open-Source Vector Database for Structured and Unstructured Data
3 August 2022, businesswire.com

Dendrocentric learning for synthetic intelligence
30 November 2022, Nature.com

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30 November 2022, thenewstack.io

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30 November 2022, Valdosta Daily Times

provided by Google News

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