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DBMS > Google Cloud Bigtable vs. Riak KV vs. searchxml vs. SiteWhere

System Properties Comparison Google Cloud Bigtable vs. Riak KV vs. searchxml vs. SiteWhere

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonRiak KV  Xexclude from comparisonsearchxml  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.Distributed, fault tolerant key-value storeDBMS for structured and unstructured content wrapped with an application serverM2M integration platform for persisting/querying time series data
Primary database modelKey-value store
Wide column store
Key-value store infowith links between data sets and object tags for the creation of secondary indexesNative XML DBMS
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score3.84
Rank#76  Overall
#9  Key-value stores
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websitecloud.google.com/­bigtablewww.searchxml.net/­category/­productsgithub.com/­sitewhere/­sitewhere
Technical documentationcloud.google.com/­bigtable/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.searchxml.net/­support/­handoutssitewhere1.sitewhere.io/­index.html
DeveloperGoogleOpenSource, formerly Basho Technologiesinformationpartners gmbhSiteWhere
Initial release2015200920152010
Current release3.2.0, December 20221.0
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2, commercial enterprise editioncommercialOpen Source infoCommon Public Attribution License Version 1.0
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 languageErlangC++Java
Server operating systemshostedLinux
OS X
WindowsLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or datenonoyesyes
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.nonoyesno
Secondary indexesnorestrictedyesno
SQL infoSupport of SQLnononono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Native Erlang Interface
RESTful HTTP API
WebDAV
XQuery
XSLT
HTTP REST
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoErlangyes infoon the application server
Triggersnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"noneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factoryes infosychronisation to multiple collectionsselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnomultiple readers, single writerno
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
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes, using Riak SecurityDomain, group and role-based access control at the document level and for application servicesUsers with fine-grained authorization concept

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More resources
Google Cloud BigtableRiak KVsearchxmlSiteWhere
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