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DBMS > Google Cloud Datastore vs. ObjectBox vs. OpenQM vs. Trafodion

System Properties Comparison Google Cloud Datastore vs. ObjectBox vs. OpenQM vs. Trafodion

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonObjectBox  Xexclude from comparisonOpenQM infoalso called QM  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 PlatformLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsQpenQM is a high-performance, self-tuning, multi-value DBMSTransactional SQL-on-Hadoop DBMS
Primary database modelDocument storeObject oriented DBMS
Vector DBMS
Multivalue DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websitecloud.google.com/­datastoregithub.com/­objectbox
objectbox.io
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmtrafodion.apache.org
Technical documentationcloud.google.com/­datastore/­docsdocs.objectbox.iotrafodion.apache.org/­documentation.html
DeveloperGoogleObjectBox LimitedRocket Software, originally Martin PhillipsApache Software Foundation, originally developed by HP
Initial release2008201719932014
Current release4.0 (May 2024)3.4-122.3.0, February 2019
License infoCommercial or Open SourcecommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++, Java
Server operating systemshostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeschema-freeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyes, details hereyes, plus "flex" map-like typesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)nonoyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary native APIADO.NET
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
Basic
C
Java
Objective C
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresusing Google App EnginenoyesJava Stored Procedures
TriggersCallbacks using the Google Apps Enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosData sync between devices allowing occasional connected databases to work completely offlineyesyes, 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnoyes
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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud DatastoreObjectBoxOpenQM infoalso called QMTrafodion
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More resources
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