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DBMS > Microsoft Azure AI Search vs. Spark SQL vs. TimesTen vs. Tkrzw

System Properties Comparison Microsoft Azure AI Search vs. Spark SQL vs. TimesTen vs. Tkrzw

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NameMicrosoft Azure AI Search  Xexclude from comparisonSpark SQL  Xexclude from comparisonTimesTen  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentSpark SQL is a component on top of 'Spark Core' for structured data processingIn-Memory RDBMS compatible to OracleA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelSearch engineRelational 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
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteazure.microsoft.com/­en-us/­services/­searchspark.apache.org/­sqlwww.oracle.com/­database/­technologies/­related/­timesten.htmldbmx.net/­tkrzw
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperMicrosoftApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Mikio Hirabayashi
Initial release2015201419982020
Current releaseV13.5.0 ( 2.13), September 202311 Release 2 (11.2.2.8.0)0.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++
Server operating systemshostedLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
Java
JavaScript
Python
Java
Python
R
Scala
C
C++
Java
PL/SQL
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoPL/SQLno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infousing specific database classes
User concepts infoAccess controlyes infousing Azure authenticationnofine grained access rights according to SQL-standardno

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More resources
Microsoft Azure AI SearchSpark SQLTimesTenTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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