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DBMS > Google Cloud Bigtable vs. SpatiaLite vs. TempoIQ vs. Tkrzw

System Properties Comparison Google Cloud Bigtable vs. SpatiaLite vs. TempoIQ vs. Tkrzw

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Spatial extension of SQLiteScalable analytics DBMS for sensor data, provided as a service (SaaS)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value store
Wide column store
Spatial DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMS
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
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitecloud.google.com/­bigtablewww.gaia-gis.it/­fossil/­libspatialite/­indextempoiq.com (offline)dbmx.net/­tkrzw
Technical documentationcloud.google.com/­bigtable/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperGoogleAlessandro FurieriTempoIQMikio Hirabayashi
Initial release2015200820122020
Current release5.0.0, August 20200.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedserver-lessLinux
macOS
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 indexesnoyes
SQL infoSupport of SQLnoyesnono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnoyesyes infoRealtime Alertsno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnonenone
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 Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDno
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.noyesnoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nosimple authentication-based access controlno

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More resources
Google Cloud BigtableSpatiaLiteTempoIQ infoformerly TempoDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Google scales up Cloud Bigtable NoSQL database
27 January 2022, TechTarget

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

Google Cloud makes it cheaper to run smaller workloads on Bigtable
7 April 2020, TechCrunch

Google introduces Cloud Bigtable managed NoSQL database to process data at scale
6 May 2015, VentureBeat

provided by Google News



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