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

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

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonopenGemini  Xexclude from comparisonSpark SQL  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilitySpark 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 engineTime Series DBMSRelational 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
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteazure.microsoft.com/­en-us/­services/­searchwww.opengemini.org
github.com/­openGemini
spark.apache.org/­sqlswaydb.simer.au
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.opengemini.org/­guidespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMicrosoftHuawei and openGemini communityApache Software FoundationSimer Plaha
Initial release2015202220142018
Current releaseV11.1, July 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoScalaScala
Server operating systemshostedLinux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesInteger, Float, Boolean, Stringyesno
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 SQLnoSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIHTTP RESTJDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoAtomic execution of operations
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 controlyes infousing Azure authenticationAdministrators and common users accountsnono

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More resources
Microsoft Azure AI SearchopenGeminiSpark SQLSwayDB
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