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DBMS > Microsoft Azure AI Search vs. SpaceTime vs. Spark SQL vs. Transbase

System Properties Comparison Microsoft Azure AI Search vs. SpaceTime vs. Spark SQL vs. Transbase

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonSpaceTime  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentSpaceTime is a spatio-temporal DBMS with a focus on performance.Spark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelSearch engineSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchwww.mireo.com/­spacetimespark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperMicrosoftMireoApache Software FoundationTransaction Software GmbH
Initial release2015202020141987
Current releaseV13.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infofree development license
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 languageC++ScalaC and C++
Server operating systemshostedLinuxLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implementedSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
Java
JavaScript
Python
C#
C++
Python
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceFixed-grid hypercubesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceReal-time block device replication (DRBD)noneSource-replica replication
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 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 persistentyesyesyesyes
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 authenticationyesnofine grained access rights according to SQL-standard

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More resources
Microsoft Azure AI SearchSpaceTimeSpark SQLTransbase
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