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DBMS > Google Cloud Spanner vs. Kdb vs. Oracle Rdb vs. RethinkDB

System Properties Comparison Google Cloud Spanner vs. Kdb vs. Oracle Rdb vs. RethinkDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonKdb  Xexclude from comparisonOracle Rdb  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.High performance Time Series DBMSDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Relational DBMSDocument store
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Websitecloud.google.com/­spannerkx.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlrethinkdb.com
Technical documentationcloud.google.com/­spanner/­docscode.kx.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlrethinkdb.com/­docs
DeveloperGoogleKx Systems, a division of First Derivatives plcOracle, originally developed by Digital Equipment Corporation (DEC)The Linux Foundation infosince July 2017
Initial release20172000 infokdb was released 2000, kdb+ in 200319842009
Current release3.6, May 20187.4.1.1, 20212.4.1, August 2020
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageqC++
Server operating systemshostedLinux
OS X
Solaris
Windows
HP Open VMSLinux
OS X
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometry
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.noyesnono
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like query language (q)yesno
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes infowith viewsClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowno infosimilar paradigm used for internal processingnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoyes, on a single nodeAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
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.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsyes infousers and table-level permissions
More information provided by the system vendor
Google Cloud SpannerKdbOracle RdbRethinkDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Google Cloud SpannerKdbOracle RdbRethinkDB
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