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DBMS > Google Cloud Bigtable vs. ObjectBox vs. Quasardb vs. SiteWhere

System Properties Comparison Google Cloud Bigtable vs. ObjectBox vs. Quasardb vs. SiteWhere

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonObjectBox  Xexclude from comparisonQuasardb  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.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series data
Primary database modelKey-value store
Wide column store
Object oriented DBMS
Vector DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsTime 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
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websitecloud.google.com/­bigtablegithub.com/­objectbox
objectbox.io
quasar.aigithub.com/­sitewhere/­sitewhere
Technical documentationcloud.google.com/­bigtable/­docsdocs.objectbox.iodoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.html
DeveloperGoogleObjectBox LimitedquasardbSiteWhere
Initial release2015201720092010
Current release4.0 (May 2024)3.14.1, January 2024
License infoCommercial or Open SourcecommercialBindings are released under Apache 2.0 infoApache License 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen 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 languageC and C++C++Java
Server operating systemshostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freepredefined scheme
Typing infopredefined data types such as float or datenoyes, plus "flex" map-like typesyes infointeger and binaryyes
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.nononono
Secondary indexesnoyesyes infowith tagsno
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary native APIHTTP APIHTTP REST
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoconsistent hashingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesData sync between devices allowing occasional connected databases to work completely offlineSource-replica replication with selectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationno
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept
More information provided by the system vendor
Google Cloud BigtableObjectBoxQuasardbSiteWhere
News

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11 September 2024

First on-device Vector Database (aka Semantic Index) for iOS
24 July 2024

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18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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More resources
Google Cloud BigtableObjectBoxQuasardbSiteWhere
Recent citations in the news

Google Cloud adds graph processing to Spanner, SQL support to Bigtable
1 August 2024, InfoWorld

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Google's AI-First Strategy Brings Vector Support To Cloud Databases
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1 August 2024, The New Stack

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
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Record quasar is most luminous object in the universe
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Hubble Unexpectedly Finds Double Quasar in Distant Universe
5 April 2023, Science@NASA

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SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

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5 September 2024, Analytics Insight

11 Best Open source IoT Platforms To Develop Smart Projects
9 March 2023, H2S Media

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