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DBMS > Google Cloud Datastore vs. MonetDB vs. ObjectBox vs. TigerGraph vs. TimesTen

System Properties Comparison Google Cloud Datastore vs. MonetDB vs. ObjectBox vs. TigerGraph vs. TimesTen

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMonetDB  Xexclude from comparisonObjectBox  Xexclude from comparisonTigerGraph  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA relational database management system that stores data in columnsExtremely fast embedded database for small devices, IoT and MobileA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeRelational DBMSObject oriented DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitecloud.google.com/­datastorewww.monetdb.orgobjectbox.iowww.tigergraph.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcloud.google.com/­datastore/­docswww.monetdb.org/­Documentationdocs.objectbox.iodocs.tigergraph.comdocs.oracle.com/­database/­timesten-18.1
DeveloperGoogleMonetDB BVObjectBox LimitedOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20082004201720171998
Current releaseDec2023 (11.49), December 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++C++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yes infoSQL 2003 with some extensionsnoSQL-like query language (GSQL)yes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary native APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresusing Google App Engineyes, in SQL, C, RnoyesPL/SQL
TriggersCallbacks using the Google Apps Engineyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnone infoSource-replica replication available in experimental statusonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyesno
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 or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
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-standardyesRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud DatastoreMonetDBObjectBoxTigerGraphTimesTen
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