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DBMS > DataFS vs. Google BigQuery vs. Memcached vs. Oracle

System Properties Comparison DataFS vs. Google BigQuery vs. Memcached vs. Oracle

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMemcached  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Large scale data warehouse service with append-only tablesIn-memory key-value store, originally intended for cachingWidely used RDBMS
Primary database modelObject oriented DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsGraph DBMSDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Websitenewdatabase.comcloud.google.com/­bigquerywww.memcached.orgwww.oracle.com/­database
Technical documentationdev.mobiland.com/­Overview.xspcloud.google.com/­bigquery/­docsgithub.com/­memcached/­memcached/­wikidocs.oracle.com/­en/­database
DeveloperMobiland AGGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalOracle
Initial release2018201020031980
Current release1.1.263, October 20221.6.27, May 202423c, September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD licensecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++
Server operating systemsWindowshostedFreeBSD
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesnononoyes
SQL infoSupport of SQLnoyesnoyes infowith proprietary extensions
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP/JSON APIProprietary protocolJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
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 JavaScriptnoPL/SQL infoalso stored procedures in Java possible
Triggersno, except callback-events from server when changes happenednonoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnonenoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallityMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datanoACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlWindows-ProfileAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standard

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More resources
DataFSGoogle BigQueryMemcachedOracle
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