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DBMS > Google BigQuery vs. Netezza vs. Prometheus

System Properties Comparison Google BigQuery vs. Netezza vs. Prometheus

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesData warehouse and analytics appliance part of IBM PureSystemsOpen-source TimeSeries DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score49.07
Rank#23  Overall
#15  Relational DBMS
Score19.48
Rank#37  Overall
#23  Relational DBMS
Score6.32
Rank#67  Overall
#3  Time Series DBMS
Websitecloud.google.com/­bigquerywww.ibm.com/­products/­netezzaprometheus.io
Technical documentationcloud.google.com/­bigquery/­docsprometheus.io/­docs
DeveloperGoogleIBM
Initial release201020002015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGo
Server operating systemshostedLinux infoincluded in applianceLinux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data only
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 infoImport of XML data possible
Secondary indexesnoyesno
SQL infoSupport of SQLyesyesno
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
OLE DB
RESTful HTTP/JSON API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynonono
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) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users with fine-grained authorization conceptno

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More resources
Google BigQueryNetezza infoAlso called PureData System for Analytics by IBMPrometheus
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