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DBMS > Google Cloud Bigtable vs. SpatiaLite vs. Tkrzw vs. Valentina Server

System Properties Comparison Google Cloud Bigtable vs. SpatiaLite vs. Tkrzw vs. Valentina Server

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonValentina Server  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.Spatial extension of SQLiteA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetObject-relational database and reports server
Primary database modelKey-value store
Wide column store
Spatial DBMSKey-value storeRelational DBMS
Secondary database modelsRelational 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
Score1.56
Rank#142  Overall
#3  Spatial DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websitecloud.google.com/­bigtablewww.gaia-gis.it/­fossil/­libspatialite/­indexdbmx.net/­tkrzwwww.valentina-db.net
Technical documentationcloud.google.com/­bigtable/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogleAlessandro FurieriMikio HirabayashiParadigma Software
Initial release2015200820201999
Current release5.0.0, August 20200.9.3, August 20205.7.5
License infoCommercial or Open SourcecommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedserver-lessLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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 indexesnoyesyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes
Triggersnoyesnoyes
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 integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes infousing specific database classesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonofine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableSpatiaLiteTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetValentina Server
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