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DBMS > Google BigQuery vs. VelocityDB

System Properties Comparison Google BigQuery vs. VelocityDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score52.29
Rank#19  Overall
#13  Relational DBMS
Score0.03
Rank#370  Overall
#39  Graph DBMS
#18  Object oriented DBMS
Websitecloud.google.com/­bigqueryvelocitydb.com
Technical documentationcloud.google.com/­bigquery/­docsvelocitydb.com/­UserGuide
DeveloperGoogleVelocityDB Inc
Initial release20102011
Current release7.x
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#
Server operating systemshostedAny that supports .NET
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesnoyes
SQL infoSupport of SQLyesno
APIs and other access methodsRESTful HTTP/JSON API.Net
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptno
TriggersnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Based on Windows Authentication

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More resources
Google BigQueryVelocityDB
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