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DBMS > Google BigQuery vs. TinkerGraph vs. Valentina Server

System Properties Comparison Google BigQuery vs. TinkerGraph vs. Valentina Server

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonTinkerGraph  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIObject-relational database and reports server
Primary database modelRelational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score0.13
Rank#347  Overall
#33  Graph DBMS
Score0.18
Rank#331  Overall
#145  Relational DBMS
Websitecloud.google.com/­bigquerytinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.valentina-db.net
Technical documentationcloud.google.com/­bigquery/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogleParadigma Software
Initial release201020091999
Current release5.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesnonoyes
SQL infoSupport of SQLyesnoyes
APIs and other access methodsRESTful HTTP/JSON APITinkerPop 3ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Groovy
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayesno
Durability infoSupport for making data persistentyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standard

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More resources
Google BigQueryTinkerGraphValentina Server
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