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DBMS > Google Cloud Spanner vs. Riak KV vs. TinkerGraph vs. Valentina Server

System Properties Comparison Google Cloud Spanner vs. Riak KV vs. TinkerGraph vs. Valentina Server

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonRiak KV  Xexclude from comparisonTinkerGraph  Xexclude from comparisonValentina Server  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.Distributed, fault tolerant key-value storeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIObject-relational database and reports server
Primary database modelRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#105  Overall
#53  Relational DBMS
Score4.44
Rank#80  Overall
#9  Key-value stores
Score0.12
Rank#344  Overall
#34  Graph DBMS
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitecloud.google.com/­spannertinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.valentina-db.net
Technical documentationcloud.google.com/­spanner/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogleOpenSource, formerly Basho TechnologiesParadigma Software
Initial release2017200920091999
Current release3.2.0, December 20225.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJava
Server operating systemshostedLinux
OS X
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonono
Secondary indexesyesrestrictednoyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011nonoyes
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
Native Erlang Interface
TinkerPop 3ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Groovy
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoErlangnoyes
Triggersnoyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno infolinks between data sets can be storedyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnono
Concurrency infoSupport for concurrent manipulation of datayesyesno
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes, using Riak Securitynofine grained access rights according to SQL-standard

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More resources
Google Cloud SpannerRiak KVTinkerGraphValentina Server
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