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DBMS > Altibase vs. Microsoft Azure AI Search vs. Quasardb vs. Spark SQL

System Properties Comparison Altibase vs. Microsoft Azure AI Search vs. Quasardb vs. Spark SQL

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSSearch-as-a-service for web and mobile app developmentDistributed, high-performance timeseries databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSSearch engineTime Series DBMSRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitealtibase.comazure.microsoft.com/­en-us/­services/­searchquasar.aispark.apache.org/­sql
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualslearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­masterspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAltibaseMicrosoftquasardbApache Software Foundation
Initial release1999201520092014
Current releasev7.3, 2023, August 2023V13.14.1, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Scala
Server operating systemsAIX
HP-UX
Linux
hostedBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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 indexesyesyesyes infowith tagsno
SQL infoSupport of SQLANSI SQL-92noSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP APIHTTP APIJDBC
ODBC
Supported programming languagesC
C++
Java
C#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationCryptographically strong user authentication and audit trailno

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AltibaseMicrosoft Azure AI SearchQuasardbSpark SQL
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