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DBMS > Google Cloud Spanner vs. JSqlDb vs. Netezza

System Properties Comparison Google Cloud Spanner vs. JSqlDb vs. Netezza

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonJSqlDb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.JavaScript Query Language Database, stores JavaScript objects and primitivesData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.80
Rank#91  Overall
#50  Relational DBMS
Score7.03
Rank#48  Overall
#30  Relational DBMS
Websitecloud.google.com/­spannerjsqldb.org (offline)www.ibm.com/­products/­netezza
Technical documentationcloud.google.com/­spanner/­docs
DeveloperGoogleKonrad von BackstromIBM
Initial release201720182000
Current release0.8, December 2018
License infoCommercial or Open SourcecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedLinux
macOS
Windows
Linux infoincluded in appliance
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011noyes
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
JavaScriptC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnofunctions in JavaScriptyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept

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More resources
Google Cloud SpannerJSqlDbNetezza infoAlso called PureData System for Analytics by IBM
Recent citations in the news

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