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DBMS > Google BigQuery vs. Infobright vs. Postgres-XL

System Properties Comparison Google BigQuery vs. Infobright vs. Postgres-XL

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInfobright  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score54.43
Rank#21  Overall
#14  Relational DBMS
Score1.50
Rank#167  Overall
#79  Relational DBMS
Score0.81
Rank#230  Overall
#107  Relational DBMS
Websitecloud.google.com/­bigqueryignitetech.com/­softwarelibrary/­infobrightdbwww.postgres-xl.org
Technical documentationcloud.google.com/­bigquery/­docswww.postgres-xl.org/­documentation
DeveloperGoogleIgnite Technologies Inc.; formerly InfoBright Inc.
Initial release201020052014 infosince 2012, originally named StormDB
Current release10 R1, October 2018
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC
Server operating systemshostedLinux
Windows
Linux
macOS
Data schemeyesyesyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesnono infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLyesyesyes infodistributed, parallel query execution
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnouser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID infoMVCC
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.noyesno
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-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesfine grained access rights according to SQL-standard

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More resources
Google BigQueryInfobrightPostgres-XL
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