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DBMS > Google BigQuery vs. Microsoft Azure AI Search vs. Spark SQL vs. TimesTen vs. Transbase

System Properties Comparison Google BigQuery vs. Microsoft Azure AI Search vs. Spark SQL vs. TimesTen vs. Transbase

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSpark SQL  Xexclude from comparisonTimesTen  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesSearch-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 resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitecloud.google.com/­bigqueryazure.microsoft.com/­en-us/­services/­searchspark.apache.org/­sqlwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.transaction.de/­en/­products/­transbase.html
Technical documentationcloud.google.com/­bigquery/­docslearn.microsoft.com/­en-us/­azure/­searchspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.oracle.com/­database/­timesten-18.1www.transaction.de/­en/­products/­transbase/­features.html
DeveloperGoogleMicrosoftApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Transaction Software GmbH
Initial release20102015201419981987
Current releaseV13.5.0 ( 2.13), September 202311 Release 2 (11.2.2.8.0)Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC and C++
Server operating systemshostedhostedLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesnoyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsyesyes
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIJDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
JavaScript
Python
Java
Python
R
Scala
C
C++
Java
PL/SQL
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnonoPL/SQLyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceyes, utilizing Spark Corenone
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 ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanonoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nononoyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousing Azure authenticationnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Google BigQueryMicrosoft Azure AI SearchSpark SQLTimesTenTransbase
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