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DBMS > Google Cloud Datastore vs. Kingbase vs. OrigoDB vs. Trafodion

System Properties Comparison Google Cloud Datastore vs. Kingbase vs. OrigoDB vs. Trafodion

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonKingbase  Xexclude from comparisonOrigoDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A fully ACID in-memory object graph databaseTransactional SQL-on-Hadoop DBMS
Primary database modelDocument storeRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitecloud.google.com/­datastorewww.kingbase.com.cnorigodb.comtrafodion.apache.org
Technical documentationcloud.google.com/­datastore/­docsorigodb.com/­docstrafodion.apache.org/­documentation.html
DeveloperGoogleBeiJing KINGBASE Information technologies inc.Robert Friberg et alApache Software Foundation, originally developed by HP
Initial release200819992009 infounder the name LiveDB2014
Current releaseV8.0, August 20212.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and JavaC#C++, Java
Server operating systemshostedLinux
Windows
Linux
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes, details hereyesUser defined using .NET types and collectionsyes
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.noyesno infocan be achieved using .NETno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)Standard with numerous extensionsnoyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.NetAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresusing Google App Engineuser defined functionsyesJava Stored Procedures
TriggersCallbacks using the Google Apps Engineyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosyesSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardRole based authorizationfine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreKingbaseOrigoDBTrafodion
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