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DBMS > Google BigQuery vs. Microsoft Azure AI Search vs. Oracle vs. YDB

System Properties Comparison Google BigQuery vs. Microsoft Azure AI Search vs. Oracle vs. YDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOracle  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesSearch-as-a-service for web and mobile app developmentWidely used RDBMSA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSSearch engineRelational DBMSDocument store
Relational DBMS
Secondary database modelsVector DBMSDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
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
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitecloud.google.com/­bigqueryazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­databasegithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationcloud.google.com/­bigquery/­docslearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­en/­databaseydb.tech/­en/­docs
DeveloperGoogleMicrosoftOracleYandex
Initial release2010201519802019
Current releaseV123c, September 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemshostedhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
Data schemeyesyesyes infoSchemaless in JSON and XML columnsFlexible Schema (defined schema, partial schema, schema free)
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 indexesnoyesyesyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsSQL-like query language (YQL)
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
JavaScript
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoPL/SQL infoalso stored procedures in Java possibleno
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACID infoisolation level can be parameterizedACID
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.nonoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'no
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousing Azure authenticationfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
Google BigQueryMicrosoft Azure AI SearchOracleYDB
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