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DBMS > Google Cloud Spanner vs. RDF4J vs. Snowflake

System Properties Comparison Google Cloud Spanner vs. RDF4J vs. Snowflake

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSnowflake  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.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.38
Rank#92  Overall
#46  Relational DBMS
Score1.26
Rank#194  Overall
#8  RDF stores
Score115.65
Rank#12  Overall
#8  Relational DBMS
Websitecloud.google.com/­spannerrdf4j.orgwww.snowflake.com
Technical documentationcloud.google.com/­spanner/­docsrdf4j.org/­documentationdocs.snowflake.net/­manuals/­index.html
DeveloperGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Snowflake Computing Inc.
Initial release201720042014
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux
OS X
Unix
Windows
hosted
Data schemeyesyes infoRDF Schemasyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011noyes
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
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
CLI Client
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Java
PHP
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersnoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyes
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)noUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Google Cloud SpannerRDF4J infoformerly known as SesameSnowflake
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