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DBMS > DataFS vs. HugeGraph vs. KeyDB vs. Microsoft Azure AI Search

System Properties Comparison DataFS vs. HugeGraph vs. KeyDB vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonHugeGraph  Xexclude from comparisonKeyDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
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 fast-speed and highly-scalable Graph DBMSAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsSearch-as-a-service for web and mobile app development
Primary database modelObject oriented DBMSGraph DBMSKey-value storeSearch engine
Secondary database modelsGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Websitenewdatabase.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­Snapchat/­KeyDB
keydb.dev
azure.microsoft.com/­en-us/­services/­search
Technical documentationdev.mobiland.com/­Overview.xsphugegraph.apache.org/­docsdocs.keydb.devlearn.microsoft.com/­en-us/­azure/­search
DeveloperMobiland AGBaiduEQ Alpha Technology Ltd.Microsoft
Initial release2018201820192015
Current release1.1.263, October 20220.9V1
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsWindowsLinux
macOS
Unix
Linuxhosted
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.nononono
Secondary indexesnoyes infoalso supports composite index and range indexyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnononono
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Java API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocol infoRESP - REdis Serialization ProtocoRESTful HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
Groovy
Java
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsLuano
Triggersno, except callback-events from server when changes happenednonono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlWindows-ProfileUsers, roles and permissionssimple password-based access control and ACLyes infousing Azure authentication

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More resources
DataFSHugeGraphKeyDBMicrosoft Azure AI Search
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