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DBMS > Google Cloud Spanner vs. Graphite vs. Microsoft Azure Table Storage

System Properties Comparison Google Cloud Spanner vs. Graphite vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonGraphite  Xexclude from comparisonMicrosoft Azure Table Storage  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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSTime Series DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#109  Overall
#52  Relational DBMS
Score3.83
Rank#83  Overall
#4  Time Series DBMS
Score5.51
Rank#61  Overall
#5  Wide column stores
Websitecloud.google.com/­spannergithub.com/­graphite-project/­graphite-webazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationcloud.google.com/­spanner/­docsgraphite.readthedocs.io
DeveloperGoogleChris DavisMicrosoft
Initial release201720062012
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePython
Server operating systemshostedLinux
Unix
hosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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 indexesyesnono
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011nono
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP API
Sockets
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-Master replication with 3 replicas for regional instances.noneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyes
Durability infoSupport for making data persistentyesyesyes
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)noAccess rights based on private key authentication or shared access signatures

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More resources
Google Cloud SpannerGraphiteMicrosoft Azure Table Storage
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