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DBMS > Google Cloud Bigtable vs. Google Cloud Spanner

System Properties Comparison Google Cloud Bigtable vs. Google Cloud Spanner

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Our visitors often compare Google Cloud Bigtable and Google Cloud Spanner with Amazon DynamoDB, Google BigQuery and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Spanner  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.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.
Primary database modelWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#109  Overall
#7  Wide column stores
Score2.02
Rank#110  Overall
#55  Relational DBMS
Websitecloud.google.com/­bigtablecloud.google.com/­spanner
Technical documentationcloud.google.com/­bigtable/­docscloud.google.com/­spanner/­docs
DeveloperGoogleGoogle
Initial release20152017
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedhosted
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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 SQLnoyes infoQuery statements complying to ANSI 2011
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC (using protocol buffers) API
RESTful HTTP API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnono
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 zonesMaster-Master replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflow
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 integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infoStrict serializable isolation
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)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Google Cloud BigtableGoogle Cloud Spanner
Recent citations in the news

Google Cloud Bigtable Replication Out of Beta After Just One Month
14 May 2019, Computer Business Review

Second Google Cloud Region Launched in Japan
14 May 2019, CRN

Google Announces Several Updates to Database Services
23 April 2019, InfoQ.com

This Complete Google Data Engineer and Cloud Architect Guide is only $15
17 May 2019, Neowin

Google Cloud launches Osaka data centre region, cites strategic importance of Japan
15 May 2019, Cloud Tech

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Google opens second Japan cloud region
15 May 2019, ZDNet

Google Cloud launches Osaka data centre region, cites strategic importance of Japan
15 May 2019, Cloud Tech

Google opens new center for privacy engineering in Munich
15 May 2019, SiliconANGLE News

Google Cloud launches its second cloud region in Japan
17 May 2019, Data Economy

Google’s Cloud Spanner database adds new features and regions
19 December 2018, TechCrunch

provided by Google News

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