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DBMS > Microsoft Azure AI Search vs. Realm vs. Spark SQL vs. SwayDB

System Properties Comparison Microsoft Azure AI Search vs. Realm vs. Spark SQL vs. SwayDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonRealm  Xexclude from comparisonSpark SQL  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSpark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelSearch engineDocument storeRelational DBMSKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score7.60
Rank#52  Overall
#9  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteazure.microsoft.com/­en-us/­services/­searchrealm.iospark.apache.org/­sqlswaydb.simer.au
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchrealm.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMicrosoftRealm, acquired by MongoDB in May 2019Apache Software FoundationSimer Plaha
Initial release2015201420142018
Current releaseV13.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaScala
Server operating systemshostedAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesnono
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessarynono
Triggersnoyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes infoIn-Memory realmnoyes
User concepts infoAccess controlyes infousing Azure authenticationyesnono

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Microsoft Azure AI SearchRealmSpark SQLSwayDB
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