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DBMS > Google Cloud Bigtable vs. IBM Db2 vs. SiteWhere vs. Tibero

System Properties Comparison Google Cloud Bigtable vs. IBM Db2 vs. SiteWhere vs. Tibero

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonSiteWhere  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Common in IBM host environments, 2 different versions for host and Windows/LinuxM2M integration platform for persisting/querying time series dataA secure RDBMS, designed for easy portability from Oracle
Primary database modelKey-value store
Wide column store
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBTime Series DBMSRelational DBMS
Secondary database modelsDocument 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
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitecloud.google.com/­bigtablewww.ibm.com/­products/­db2github.com/­sitewhere/­sitewhereus.tmaxsoft.com/­products/­tibero
Technical documentationcloud.google.com/­bigtable/­docswww.ibm.com/­docs/­en/­db2sitewhere1.sitewhere.io/­index.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperGoogleIBMSiteWhereTmaxSoft
Initial release20151983 infohost version20102003
Current release12.1, October 20166, April 2015
License infoCommercial or Open Sourcecommercialcommercial infofree version is availableOpen Source infoCommon Public Attribution License Version 1.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaC and Assembler
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyespredefined schemeyes
Typing infopredefined data types such as float or datenoyesyesyes
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
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
HTTP RESTJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyesPersistent Stored Procedure (PSM)
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoonly with Windows/Unix/Linux VersionSharding infobased on HBasehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infowith separate tools (MQ, InfoSphere)selectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnoACID
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.nonono infoplanned for next version
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Google Cloud BigtableIBM Db2 infoformerly named DB2 or IBM Database 2SiteWhereTibero
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