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DBMS > Google Cloud Datastore vs. ObjectBox vs. Realm vs. RethinkDB

System Properties Comparison Google Cloud Datastore vs. ObjectBox vs. Realm vs. RethinkDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonObjectBox  Xexclude from comparisonRealm  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformExtremely fast embedded database for small devices, IoT and MobileA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelDocument storeObject oriented DBMSDocument storeDocument store
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score2.74
Rank#105  Overall
#19  Document stores
Websitecloud.google.com/­datastoreobjectbox.iorealm.iorethinkdb.com
Technical documentationcloud.google.com/­datastore/­docsdocs.objectbox.iorealm.io/­docsrethinkdb.com/­docs
DeveloperGoogleObjectBox LimitedRealm, acquired by MongoDB in May 2019The Linux Foundation infosince July 2017
Initial release2008201720142009
Current release2.4.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open SourceOpen Source infoApache Version 2
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 C++C++
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesyes infostring, binary, float, bool, date, geometry
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)nonono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary native API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
Java infowith Android only
Objective-C
React Native
Swift
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresusing Google App Enginenono inforuns within the applications so server-side scripts are unnecessary
TriggersCallbacks using the Google Apps Enginenoyes infoChange ListenersClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosonline/offline synchronization between client and servernoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyes
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 pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC based
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.nonoyes infoIn-Memory realmno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesyesyes infousers and table-level permissions
More information provided by the system vendor
Google Cloud DatastoreObjectBoxRealmRethinkDB
News

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23 April 2024

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15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

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9 August 2023

Vector Database Release for Flutter / Dart + Python
13 June 2023

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More resources
Google Cloud DatastoreObjectBoxRealmRethinkDB
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