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DBMS > Google Cloud Spanner vs. Microsoft Azure Cosmos DB

System Properties Comparison Google Cloud Spanner vs. Microsoft Azure Cosmos DB

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

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionA 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.Globally distributed, horizontally scalable, multi-model database service
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.79
Rank#117  Overall
#61  Relational DBMS
Score29.08
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitecloud.google.com/­spannerazure.microsoft.com/­services/­cosmos-db
Technical documentationcloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperGoogleMicrosoft
Initial release20172014
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 schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON types
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.no
Secondary indexesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like query language
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnoJavaScript
TriggersnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-Master replication with 3 replicas for regional instances.yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationMulti-item ACID transactions with snapshot isolation within a partition
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.no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item level
More information provided by the system vendor
Google Cloud SpannerMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Specific characteristicsAzure Cosmos DB is Microsoft™s globally-distributed, horizontally scalable, multi-model...
» more
Competitive advantagesGlobal distribution Easily build globally-distributed applications without the hassle...
» more
Typical application scenariosAzure Cosmos DB enables writing globally distributed applications and allows you...
» more
Key customersJet.com, Asos, Real Madrid, Orange Tribes, MSN, Telenor, NextGames, Schneider Electric,...
» more
Market metricsGartner Research positions Microsoft as the leader in the Magic Quadrant Operational...
» more
Licensing and pricing modelsWith Azure Cosmos DB, pay only for the storage you use and the throughput you provision...
» more

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More resources
Google Cloud SpannerMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Recent citations in the news

Blockchain.com banks on Google cloud to support growth of cryptocurrency management platform
12 July 2019, ComputerWeekly.com

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

Amazon Sends Stocks of Yet Another Segment of Retailers Crashing—Data Sheet
25 June 2019, Fortune

IT teams face an uphill battle with serverless migrations
11 July 2019, TechTarget

Google Updates Cloud Spanner: Query Introspection, New Regions, and New Multi-Region Configurations
31 December 2018, InfoQ.com

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15 July 2019, PRNewswire

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