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DBMS > Apache Drill vs. BoltDB vs. DataFS vs. Microsoft Azure AI Search

System Properties Comparison Apache Drill vs. BoltDB vs. DataFS vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonBoltDB  Xexclude from comparisonDataFS  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAn 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 development
Primary database modelDocument store
Relational DBMS
Key-value storeObject oriented DBMSSearch engine
Secondary database modelsGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
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
Websitedrill.apache.orggithub.com/­boltdb/­boltnewdatabase.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdrill.apache.org/­docsdev.mobiland.com/­Overview.xsplearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software FoundationMobiland AGMicrosoft
Initial release2012201320182015
Current release1.20.3, January 20231.1.263, October 2022V1
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT Licensecommercialcommercial
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 languageGo
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
Windowshosted
Data schemeschema-freeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesnononoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP API
Supported programming languagesC++Go.Net
C
C#
C++
VB.Net
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersnonono, except callback-events from server when changes happenedno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneProprietary Sharding systemSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenonono
User concepts infoAccess controlDepending on the underlying data sourcenoWindows-Profileyes infousing Azure authentication

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More resources
Apache DrillBoltDBDataFSMicrosoft Azure AI Search
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