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DBMS > Amazon Aurora vs. Amazon CloudSearch vs. Google Cloud Datastore vs. ObjectBox

System Properties Comparison Amazon Aurora vs. Amazon CloudSearch vs. Google Cloud Datastore vs. ObjectBox

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA hosted search engine service by Amazon with the data stored in Amazons cloudAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelRelational DBMSSearch engineDocument storeObject oriented DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.85
Rank#137  Overall
#12  Search engines
Score4.47
Rank#76  Overall
#12  Document stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­cloudsearchcloud.google.com/­datastoreobjectbox.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.aws.amazon.com/­cloudsearchcloud.google.com/­datastore/­docsdocs.objectbox.io
DeveloperAmazonAmazonGoogleObjectBox Limited
Initial release2015201220082017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemshostedhostedhostedAndroid
iOS
Linux
macOS
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyes
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.yesnono
Secondary indexesyesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLyesnoSQL-like query language (GQL)no
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary native API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.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
Server-side scripts infoStored proceduresyesnousing Google App Engineno
TriggersyesnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infomanaged transparently by AWSMulti-source replication using Paxosonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 Consistency
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes
More information provided by the system vendor
Amazon AuroraAmazon CloudSearchGoogle Cloud DatastoreObjectBox
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More resources
Amazon AuroraAmazon CloudSearchGoogle Cloud DatastoreObjectBox
DB-Engines blog posts

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