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DBMS > ITTIA vs. Milvus

System Properties Comparison ITTIA vs. Milvus

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Editorial information provided by DB-Engines
NameITTIA  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionEdge Time Series DBMS with Real-Time Stream ProcessingA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelTime Series DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitewww.ittia.commilvus.io
Technical documentationmilvus.io/­docs/­overview.md
DeveloperITTIA L.L.C.
Initial release20072019
Current release8.72.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen 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 languageC and C++C++, Go
Server operating systemsLinux
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeFixed schema
Typing infopredefined data types such as float or dateFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/IntervalVector, 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.nono
Secondary indexesyesno
SQL infoSupport of SQLyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
WebSocket
RESTful HTTP API
Supported programming languagesC
C++
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
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 integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlDatabase file passwordsRole based access control and fine grained access rights
More information provided by the system vendor
ITTIAMilvus
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
ITTIAMilvus
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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