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DBMS > Google Cloud Bigtable vs. mSQL vs. SiteWhere

System Properties Comparison Google Cloud Bigtable vs. mSQL vs. SiteWhere

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSiteWhere  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.mSQL (Mini SQL) is a simple and lightweight RDBMSM2M integration platform for persisting/querying time series data
Primary database modelKey-value store
Wide column store
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitecloud.google.com/­bigtablehughestech.com.au/­products/­msqlgithub.com/­sitewhere/­sitewhere
Technical documentationcloud.google.com/­bigtable/­docssitewhere1.sitewhere.io/­index.html
DeveloperGoogleHughes TechnologiesSiteWhere
Initial release201519942010
Current release4.4, October 2021
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeschema-freeyespredefined scheme
Typing infopredefined data types such as float or datenoyesyes
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 indexesnoyesno
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
HTTP REST
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnono
Concurrency infoSupport for concurrent manipulation of datayesnoyes
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.nonono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers with fine-grained authorization concept

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More resources
Google Cloud BigtablemSQL infoMini SQLSiteWhere
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