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DBMS > Google Cloud Bigtable vs. Sequoiadb

System Properties Comparison Google Cloud Bigtable vs. Sequoiadb

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Our visitors often compare Google Cloud Bigtable and Sequoiadb with CockroachDB, MySQL and TiDB.

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonSequoiadb  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.NewSQL database with distributed OLTP and SQL
Primary database modelWide column storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.98
Rank#85  Overall
#6  Wide column stores
Score0.48
Rank#241  Overall
#38  Document stores
#115  Relational DBMS
Websitecloud.google.com/­bigtablewww.sequoiadb.com
Technical documentationcloud.google.com/­bigtable/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperGoogleSequoiadb Ltd.
Initial release20152013
License infoCommercial or Open SourcecommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedLinux
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or datenoyes infooid, date, timestamp, binary, regex
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLnoSQL-like query language
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
proprietary protocol using JSON
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoJavaScript
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access control

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More resources
Google Cloud BigtableSequoiadb
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