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DBMS > Google BigQuery vs. Sqrrl

System Properties Comparison Google BigQuery vs. Sqrrl

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonSqrrl  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.55
Rank#28  Overall
#16  Relational DBMS
Score0.50
Rank#201  Overall
#28  Document stores
#16  Graph DBMS
#33  Key-value stores
#10  Wide column stores
Websitecloud.google.com/­bigquerysqrrl.com
Technical documentationcloud.google.com/­bigquery/­docs
DeveloperGoogleAmazon infooriginally Sqrrl Data, Inc.
Initial release20102012
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
Data schemeyesschema-free
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.no
Secondary indexesnoyes
SQL infoSupport of SQLyesno
APIs and other access methodsRESTful HTTP/JSON APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataAtomic updates per row, document, or graph entity
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.no
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Google BigQuerySqrrl
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Recent citations in the news

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13 December 2018, Analytics India Magazine

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23 March 2016, ZDNet

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20 September 2019, Market Forecast

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