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DBMS > DataFS vs. Ignite vs. Microsoft Azure AI Search vs. Milvus

System Properties Comparison DataFS vs. Ignite vs. Microsoft Azure AI Search vs. Milvus

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMilvus  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Search-as-a-service for web and mobile app developmentA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelObject oriented DBMSKey-value store
Relational DBMS
Search engineVector DBMS
Secondary database modelsGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitenewdatabase.comignite.apache.orgazure.microsoft.com/­en-us/­services/­searchmilvus.io
Technical documentationdev.mobiland.com/­Overview.xspapacheignite.readme.io/­docslearn.microsoft.com/­en-us/­azure/­searchmilvus.io/­docs/­overview.md
DeveloperMobiland AGApache Software FoundationMicrosoft
Initial release2018201520152019
Current release1.1.263, October 2022Apache Ignite 2.6V12.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
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++, Java, .NetC++, Go
Server operating systemsWindowsLinux
OS X
Solaris
Windows
hostedLinux
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)yesyes
Typing infopredefined data types such as float or dateyesyesyesVector, 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.noyesnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIRESTful HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono
Triggersno, except callback-events from server when changes happenedyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlWindows-ProfileSecurity Hooks for custom implementationsyes infousing Azure authenticationRole based access control and fine grained access rights
More information provided by the system vendor
DataFSIgniteMicrosoft Azure AI SearchMilvus
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
DataFSIgniteMicrosoft Azure AI SearchMilvus
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