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DBMS > atoti vs. Milvus

System Properties Comparison atoti vs. Milvus

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelObject oriented DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Websiteatoti.iomilvus.io
Technical documentationdocs.atoti.iomilvus.io/­docs/­overview.md
DeveloperActiveViam
Initial release2019
Current release2.4.4, May 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
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 languageJavaC++, Go
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Typing infopredefined data types such as float or dateVector, Numeric and String
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.no
Secondary indexesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)no
APIs and other access methodsRESTful HTTP API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole based access control and fine grained access rights
More information provided by the system vendor
atotiMilvus
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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More resources
atotiMilvus
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

Overview Of Atoti: A Python BI Analytics Tool – AIM
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