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DBMS > HugeGraph vs. Milvus

System Properties Comparison HugeGraph vs. Milvus

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelGraph DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#307  Overall
#28  Graph DBMS
Score0.28
Rank#271  Overall
#11  Multivalue DBMS
Websitegithub.com/­hugegraphmilvus.io
Technical documentationhugegraph.github.io/­hugegraph-docmilvus.io/­docs/­overview.md
DeveloperBaidu
Initial release20182019
Current release0.91.0, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open 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.
Implementation languageJavaC++
Server operating systemsLinux
macOS
Unix
Linux
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 indexesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnono
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
C++
Go
Java
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesno
User concepts infoAccess controlUsers, roles and permissionsno

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More resources
HugeGraphMilvus
Recent citations in the 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

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

provided by Google News



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