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DBMS > Google Cloud Bigtable vs. Oracle vs. WakandaDB

System Properties Comparison Google Cloud Bigtable vs. Oracle vs. WakandaDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonOracle  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Widely used RDBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelWide column storeRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.98
Rank#85  Overall
#6  Wide column stores
Score1271.55
Rank#1  Overall
#1  Relational DBMS
Score0.05
Rank#327  Overall
#18  Object oriented DBMS
Websitecloud.google.com/­bigtablewww.oracle.com/­databasewakanda.github.io
Technical documentationcloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­databasedoc.wakanda.org/­home2.en.html#/­Datastore/­Introduction.200-588937.en.html
DeveloperGoogleOracleWakanda SAS
Initial release201519802012
Current release19c, February 20192.7.0 (AprilĀ 29, 2019), 2019
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoAGPLv3, extended commercial license available
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.
Implementation languageC and C++C++, JavaScript
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
OS X
Windows
Data schemeschema-freeyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or datenoyesyes
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.noyesno
Secondary indexesnoyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
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
JavaScript
Server-side scripts infoStored proceduresnoPL/SQL infoalso stored procedures in Java possibleyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID 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-standardyes

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