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DBMS > BigObject vs. Microsoft Azure AI Search vs. Microsoft SQL Server vs. TimesTen

System Properties Comparison BigObject vs. Microsoft Azure AI Search vs. Microsoft SQL Server vs. TimesTen

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesSearch-as-a-service for web and mobile app developmentMicrosofts flagship relational DBMSIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedSearch engineRelational DBMSRelational DBMS
Secondary database modelsVector DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitebigobject.ioazure.microsoft.com/­en-us/­services/­searchwww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.bigobject.iolearn.microsoft.com/­en-us/­azure/­searchlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­database/­timesten-18.1
DeveloperBigObject, Inc.MicrosoftMicrosoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2015201519891998
Current releaseV1SQL Server 2022, November 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
Java
JavaScript
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresLuanoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaPL/SQL
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnoyes infousing Azure authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BigObjectMicrosoft Azure AI SearchMicrosoft SQL ServerTimesTen
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