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DBMS > Google Cloud Datastore vs. Oracle vs. PostgreSQL

System Properties Comparison Google Cloud Datastore vs. Oracle vs. PostgreSQL

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonOracle  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWidely used RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.51
Rank#67  Overall
#10  Document stores
Score1345.00
Rank#1  Overall
#1  Relational DBMS
Score555.06
Rank#4  Overall
#4  Relational DBMS
Websitecloud.google.com/­datastorewww.oracle.com/­databasewww.postgresql.org
Technical documentationcloud.google.com/­datastore/­docsdocs.oracle.com/­en/­databasewww.postgresql.org/­docs
DeveloperGoogleOraclePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release200819801989 info1989: Postgres, 1996: PostgreSQL
Current release19c, February 201913.1, November 2020
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageC and C++C
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyes, details hereyesyes
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.noyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yes infowith proprietary extensionsyes infostandard with numerous extensions
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresusing Google App EnginePL/SQL infoalso stored procedures in Java possibleuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
TriggersCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infowith the optional Oracle Partitioningpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowno infocan be realized in PL/SQLno
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 pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'no
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-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud DatastoreOraclePostgreSQL
Specific characteristicsOracle Database (commonly referred to as Oracle RDBMS or simply as Oracle) is a multi-model...
» more
Licensing and pricing modelsOracle Database Cloud Services Customers can choose from a wide range of database...
» more

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