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DBMS > Amazon Redshift vs. FoundationDB vs. Google Cloud Datastore vs. Oracle

System Properties Comparison Amazon Redshift vs. FoundationDB vs. Google Cloud Datastore vs. Oracle

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFoundationDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOracle  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsOrdered key-value store. Core features are complimented by layers.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWidely used RDBMS
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.78
Rank#31  Overall
#19  Relational DBMS
Score0.86
Rank#165  Overall
#24  Document stores
#29  Key-value stores
#80  Relational DBMS
Score5.21
Rank#61  Overall
#11  Document stores
Score1336.07
Rank#1  Overall
#1  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.foundationdb.orgcloud.google.com/­datastorewww.oracle.com/­database
Technical documentationdocs.aws.amazon.com/­redshiftapple.github.io/­foundationdbcloud.google.com/­datastore/­docsdocs.oracle.com/­en/­database
DeveloperAmazon (based on PostgreSQL)FoundationDBGoogleOracle
Initial release2012201320081980
Current release6.1.11, July 201919c, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C and C++
Server operating systemshostedLinux
OS X
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesschema-free infosome layers support schemasschema-freeyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes, 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.nonoyes
Secondary indexesrestrictednoyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardsupported in specific SQL layer onlySQL-like query language (GQL)yes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.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
Server-side scripts infoStored proceduresuser defined functions infoin Pythonin SQL-layer onlyusing Google App EnginePL/SQL infoalso stored procedures in Java possible
TriggersnonoCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning infowith the optional Oracle Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-Master replication using PaxosMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable 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 integrityyes infoinformational only, not enforced by the systemin SQL-layer onlyyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infoisolation level can be parameterized
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.yesnoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon RedshiftFoundationDBGoogle Cloud DatastoreOracle
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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