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DBMS > Graph Engine vs. Milvus

System Properties Comparison Graph Engine vs. Milvus

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelGraph DBMS
Key-value store
Multivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#186  Overall
#17  Graph DBMS
#30  Key-value stores
Score0.38
Rank#257  Overall
#10  Multivalue DBMS
Websitewww.graphengine.iomilvus.io
Technical documentationwww.graphengine.io/­docs/­manualmilvus.io/­docs/­overview.md
DeveloperMicrosoft
Initial release20102019
Current release1.0, March 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++
Server operating systems.NETLinux
Data schemeyes
Typing infopredefined data types such as float or dateyesNumeric 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.nono
Secondary indexesno
SQL infoSupport of SQLnono
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
C++
Go
Java
Python
Server-side scripts infoStored proceduresyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlno

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More resources
Graph Engine infoformer name: TrinityMilvus
Recent citations in the news

Microsoft Graph Engine Is Now an Open-Source Project
13 February 2017, WinBuzzer

Cutting-edge Katana Graph scores $28.5 million Series A Led by Intel Capital
24 February 2021, ZDNet

Latest TigerGraph Release Adds More Than 40 Features to its Graph Database
6 October 2021, Database Trends and Applications

Katana Graph and Intel Collaborate on Graph Analytics Python Library and Metagraph Plug-In
30 November 2021, Database Trends and Applications

How Google and Microsoft taught search to “understand” the Web
6 June 2012, Ars Technica

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

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

provided by Google News

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