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DBMS > Microsoft Azure Search vs. NSDb vs. Spark SQL vs. Transbase

System Properties Comparison Microsoft Azure Search vs. NSDb vs. Spark SQL vs. Transbase

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Editorial information provided by DB-Engines
NameMicrosoft Azure Search  Xexclude from comparisonNSDb  Xexclude from comparisonSpark SQL  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 resource-optimized, high-performance, universally applicable RDBMS
Primary database modelSearch engineTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.54
Rank#59  Overall
#6  Search engines
Score0.00
Rank#354  Overall
#33  Time Series DBMS
Score22.86
Rank#35  Overall
#21  Relational DBMS
Score0.07
Rank#325  Overall
#147  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchnsdb.iospark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperMicrosoftApache Software FoundationTransaction Software GmbH
Initial release2015201720141987
Current releaseV13.2.0, October 2021Transbase 8.4, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ScalaScalaC and C++
Server operating systemshostedLinux
macOS
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes
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 indexesyesall fields are automatically indexednoyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
WebSocket
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C#
Java
Scala
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlyes infousing Azure authenticationnofine grained access rights according to SQL-standard

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More resources
Microsoft Azure SearchNSDbSpark SQLTransbase
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