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DBMS > Google Cloud Spanner vs. GridDB vs. IBM Db2 vs. Microsoft Azure Table Storage

System Properties Comparison Google Cloud Spanner vs. GridDB vs. IBM Db2 vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonGridDB  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
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.Scalable in-memory time series database optimized for IoT and Big DataCommon in IBM host environments, 2 different versions for host and Windows/LinuxA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBWide column store
Secondary database modelsKey-value store
Relational DBMS
Document store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.68
Rank#92  Overall
#48  Relational DBMS
Score1.23
Rank#159  Overall
#11  Time Series DBMS
Score160.32
Rank#7  Overall
#5  Relational DBMS
Score5.35
Rank#77  Overall
#5  Wide column stores
Websitecloud.google.com/­spannergriddb.netwww.ibm.com/­analytics/­db2azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationcloud.google.com/­spanner/­docsdocs.griddb.netwww.ibm.com/­support/­knowledgecenter/­SSEPGG
DeveloperGoogleToshiba CorporationIBMMicrosoft
Initial release201720131983 infohost version2012
Current release4.6, February 202112.1, October 2016
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++
Server operating systemshostedLinuxAIX
HP-UX
Linux
Solaris
Windows
z/OS
hosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL92, SQL-like TQL (Toshiba Query Language)yesno
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
Proprietary protocolADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoonly with Windows/Unix/Linux VersionSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Source-replica replicationyes infowith separate tools (MQ, InfoSphere)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud DataflowConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACID at container levelACIDoptimistic locking
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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
Google Cloud SpannerGridDBIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Table Storage
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Google Cloud SpannerGridDBIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Table Storage
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