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DBMS > DataFS vs. Graph Engine vs. Hypertable vs. Milvus

System Properties Comparison DataFS vs. Graph Engine vs. Hypertable vs. Milvus

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHypertable  Xexclude from comparisonMilvus  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source BigTable implementation based on distributed file systems such as HadoopA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelObject oriented DBMSGraph DBMS
Key-value store
Wide column storeVector DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#362  Overall
#17  Object oriented DBMS
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.81
Rank#144  Overall
#5  Vector DBMS
Websitenewdatabase.comwww.graphengine.iomilvus.io
Technical documentationdev.mobiland.com/­Overview.xspwww.graphengine.io/­docs/­manualmilvus.io/­docs/­overview.md
DeveloperMobiland AGMicrosoftHypertable Inc.
Initial release2018201020092019
Current release1.1.263, October 20220.9.8.11, March 20162.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 language.NET and CC++C++, Go
Server operating systemsWindows.NETLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-free
Typing infopredefined data types such as float or dateyesyesnoVector, 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.nonono
Secondary indexesnorestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLnononono
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIC++ API
Thrift
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
C#
C++
F#
Visual Basic
C++
Java
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnono
Triggersno, except callback-events from server when changes happenednonono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemhorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlWindows-ProfilenoRole based access control and fine grained access rights
More information provided by the system vendor
DataFSGraph Engine infoformer name: TrinityHypertableMilvus
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
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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...
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DataFSGraph Engine infoformer name: TrinityHypertableMilvus
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