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DBMS > Cubrid vs. Google BigQuery vs. Graph Engine vs. Microsoft Azure AI Search vs. PieCloudDB

System Properties Comparison Cubrid vs. Google BigQuery vs. Graph Engine vs. Microsoft Azure AI Search vs. PieCloudDB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPieCloudDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPLarge scale data warehouse service with append-only tablesA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineSearch-as-a-service for web and mobile app developmentA cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Key-value store
Search engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Score0.25
Rank#304  Overall
#138  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
cloud.google.com/­bigquerywww.graphengine.ioazure.microsoft.com/­en-us/­services/­searchwww.openpie.com
Technical documentationcubrid.org/­manualscloud.google.com/­bigquery/­docswww.graphengine.io/­docs/­manuallearn.microsoft.com/­en-us/­azure/­search
DeveloperCUBRID Corporation, CUBRID FoundationGoogleMicrosoftMicrosoftOpenPie
Initial release2008201020102015
Current release11.0, January 2021V12.1, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, Java.NET and C
Server operating systemsLinux
Windows
hosted.NEThostedhosted
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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesyesnonoyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP/JSON APIRESTful HTTP APIRESTful HTTP APICLI Client
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C#
Java
JavaScript
Python
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions infoin JavaScriptyesnouser defined functions
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioningSharding infoImplicit feature of the cloud serviceyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousing Azure authenticationUser Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
CubridGoogle BigQueryGraph Engine infoformer name: TrinityMicrosoft Azure AI SearchPieCloudDB
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
CubridGoogle BigQueryGraph Engine infoformer name: TrinityMicrosoft Azure AI SearchPieCloudDB
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