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DBMS > Google BigQuery vs. Greenplum vs. STSdb

System Properties Comparison Google BigQuery vs. Greenplum vs. STSdb

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGreenplum  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.63
Rank#28  Overall
#16  Relational DBMS
Score11.96
Rank#39  Overall
#24  Relational DBMS
Score0.11
Rank#284  Overall
#47  Key-value stores
Websitecloud.google.com/­bigquerypivotal.io/­pivotal-greenplumstssoft.com/­products/­stsdb-4-0
Technical documentationcloud.google.com/­bigquery/­docsgpdb.docs.pivotal.io
DeveloperGooglePivotal Software Inc.STS Soft SC
Initial release201020052011
Current release5.10.0, July 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#
Server operating systemshostedLinuxWindows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)
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.noyes infosince Version 4.2
Secondary indexesnoyesno
SQL infoSupport of SQLyesyesno
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
.NET Client API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
Java
Perl
Python
R
C#
Java
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
Google BigQueryGreenplumSTSdb
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Recent citations in the news

Comparing Redshift and BigQuery in various terms
13 December 2018, Analytics India Magazine

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23 March 2016, ZDNet

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19 March 2019, ZDNet

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14 September 2017, Datanami

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29 October 2015, InfoWorld

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18 September 2017, SDxCentral

provided by Google News

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