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DBMS > BoltDB vs. DataFS vs. Microsoft Azure AI Search vs. OpenMLDB

System Properties Comparison BoltDB vs. DataFS vs. Microsoft Azure AI Search vs. OpenMLDB

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDataFS  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.All 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.Search-as-a-service for web and mobile app developmentAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelKey-value storeObject oriented DBMSSearch engineTime Series DBMS
Secondary database modelsGraph DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Websitegithub.com/­boltdb/­boltnewdatabase.comazure.microsoft.com/­en-us/­services/­searchopenmldb.ai
Technical documentationdev.mobiland.com/­Overview.xsplearn.microsoft.com/­en-us/­azure/­searchopenmldb.ai/­docs/­zh/­main
DeveloperMobiland AGMicrosoft4 Paradigm Inc.
Initial release2013201820152020
Current release1.1.263, October 2022V12024-2 February 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialcommercialOpen Source
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.
Implementation languageGoC++, Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
WindowshostedLinux
Data schemeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesFixed schema
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLnononoyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIJDBC
SQLAlchemy
Supported programming languagesGo.Net
C
C#
C++
VB.Net
C#
Java
JavaScript
Python
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnonono
Triggersnono, except callback-events from server when changes happenednono
Partitioning methods infoMethods for storing different data on different nodesnoneProprietary Sharding systemSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
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.nononoyes
User concepts infoAccess controlnoWindows-Profileyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
BoltDBDataFSMicrosoft Azure AI SearchOpenMLDB
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