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DBMS > Google Cloud Bigtable vs. Google Cloud Spanner vs. VoltDB

System Properties Comparison Google Cloud Bigtable vs. Google Cloud Spanner vs. VoltDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonVoltDB  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.Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#113  Overall
#7  Wide column stores
Score2.24
Rank#108  Overall
#56  Relational DBMS
Score2.25
Rank#107  Overall
#55  Relational DBMS
Websitecloud.google.com/­bigtablecloud.google.com/­spannerwww.voltdb.com
Technical documentationcloud.google.com/­bigtable/­docscloud.google.com/­spanner/­docsdocs.voltdb.com
DeveloperGoogleGoogleVoltDB Inc.
Initial release201520172010
Current release8.4, January 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++
Server operating systemshostedhostedLinux
OS X infofor development
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011yes infoonly a subset of SQL 99
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.
Java API
RESTful HTTP/JSON API
JDBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnonoJava
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
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.Master-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflowno
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 integrityno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infoStrict serializable isolationACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
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)Users and roles with access to stored procedures
More information provided by the system vendor
Google Cloud BigtableGoogle Cloud SpannerVoltDB
Specific characteristicsCloud Bigtable is a low latency, massively scalable wide-column NoSQL database for...
» more
Cloud Spanner is the only enterprise-grade, globally-distributed, and strongly consistent...
» more
Competitive advantagesSpeed Cloud Bigtable offers low latency and high throughput at any scale or application...
» more
No compromises Most databases today require making trade-offs between scale and consistency....
» more
Typical application scenariosAd Tech / User Analytics Integrate large volumes of unrefined data from many sources,...
» more
Financial trading, insurance, global call centers, supply-chain management and manufacturing,...
» more
Key customerseBay , Spotify , Twitter , Zulily , Moloco , Cognite , Arcules , Symphony , Pluribus...
» more
Marketo , Optiva , Evernote , Mixpanel , Google
» more
Licensing and pricing modelsWhen you use Cloud Bigtable, you are charged for the following: The type of Cloud...
» more

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Google Cloud BigtableGoogle Cloud SpannerVoltDB
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