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DBMS > Cubrid vs. Google BigQuery vs. Google Cloud Firestore vs. Kyligence Enterprise vs. PieCloudDB

System Properties Comparison Cubrid vs. Google BigQuery vs. Google Cloud Firestore vs. Kyligence Enterprise vs. PieCloudDB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKyligence Enterprise  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 tablesCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A distributed analytics engine for big data, built on top of Apache KylinA cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSRelational 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
Score7.85
Rank#51  Overall
#8  Document stores
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.25
Rank#304  Overall
#138  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
cloud.google.com/­bigqueryfirebase.google.com/­products/­firestorekyligence.io/­kyligence-enterprisewww.openpie.com
Technical documentationcubrid.org/­manualscloud.google.com/­bigquery/­docsfirebase.google.com/­docs/­firestore
DeveloperCUBRID Corporation, CUBRID FoundationGoogleGoogleKyligence, Inc.OpenPie
Initial release2008201020172016
Current release11.0, January 20212.1, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaJava
Server operating systemsLinux
Windows
hostedhostedLinuxhosted
Data schemeyesyesschema-freeyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLyesyesnoANSI SQL for queries (using Apache Calcite)yes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP/JSON APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
CLI 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
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions infoin JavaScriptyes, Firebase Rules & Cloud Functionsuser defined functions
Triggersyesnoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datayesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
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)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.User Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
CubridGoogle BigQueryGoogle Cloud FirestoreKyligence EnterprisePieCloudDB
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 BigQueryGoogle Cloud FirestoreKyligence EnterprisePieCloudDB
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