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DBMS > Google BigQuery vs. PostgreSQL vs. SAP IQ vs. SiteWhere

System Properties Comparison Google BigQuery vs. PostgreSQL vs. SAP IQ vs. SiteWhere

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLColumnar RDBMS optimized for Big Data analyticsM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS infocolumn-orientedTime Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score2.64
Rank#108  Overall
#52  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitecloud.google.com/­bigquerywww.postgresql.orgwww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlgithub.com/­sitewhere/­sitewhere
Technical documentationcloud.google.com/­bigquery/­docswww.postgresql.org/­docshelp.sap.com/­docs/­SAP_IQsitewhere1.sitewhere.io/­index.html
DeveloperGooglePostgreSQL Global Development Group infowww.postgresql.org/­developerSAP, formerly SybaseSiteWhere
Initial release20101989 info1989: Postgres, 1996: PostgreSQL19942010
Current release16.3, May 202416.1 SPS04, April 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemshostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes
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 infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesyesno
SQL infoSupport of SQLyesyes infostandard with numerous extensionsyesno
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
RESTful HTTP API
HTTP REST
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and (since PostgreSQL 11) by hashshared disk or shared nothing architectures with SAP IQ MultiplexerSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSAP/Sybase Replication Serverselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Google BigQueryPostgreSQLSAP IQ infoformer name: Sybase IQSiteWhere
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