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DBMS > Microsoft Azure AI Search vs. NSDb vs. Spark SQL vs. TDSQL for MySQL vs. Transbase

System Properties Comparison Microsoft Azure AI Search vs. NSDb vs. Spark SQL vs. TDSQL for MySQL vs. Transbase

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpark SQL is a component on top of 'Spark Core' for structured data processingA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A resource-optimized, high-performance, universally applicable RDBMS
Primary database modelSearch engineTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.71
Rank#64  Overall
#8  Search engines
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.82
Rank#213  Overall
#97  Relational DBMS
Score0.15
Rank#337  Overall
#147  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchnsdb.iospark.apache.org/­sqlwww.tencentcloud.com/­products/­dcdbwww.transaction.de/­en/­products/­transbase.html
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.tencentcloud.com/­document/­product/­1042www.transaction.de/­en/­products/­transbase/­features.html
DeveloperMicrosoftApache Software FoundationTencentTransaction Software GmbH
Initial release20152017201420131987
Current releaseV13.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaScalaC and C++
Server operating systemshostedLinux
macOS
Linux
OS X
Windows
hostedFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyesyes
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.nonononono
Secondary indexesyesall fields are automatically indexednoyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsyesyes
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
WebSocket
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
Java
JavaScript
Python
Java
Scala
Java
Python
R
Scala
C
C#
C++
Java
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnononoyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingyes, utilizing Spark CoreAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlyes infousing Azure authenticationnoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Microsoft Azure AI SearchNSDbSpark SQLTDSQL for MySQLTransbase
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