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DBMS > Google Cloud Spanner vs. Graphite vs. Ingres vs. RDF4J vs. SAP SQL Anywhere

System Properties Comparison Google Cloud Spanner vs. Graphite vs. Ingres vs. RDF4J vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonGraphite  Xexclude from comparisonIngres  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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 WhisperWell established RDBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitecloud.google.com/­spannergithub.com/­graphite-project/­graphite-webwww.actian.com/­databases/­ingresrdf4j.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationcloud.google.com/­spanner/­docsgraphite.readthedocs.iodocs.actian.com/­ingresrdf4j.org/­documentationhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperGoogleChris DavisActian CorporationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SAP infoformerly Sybase
Initial release201720061974 infooriginally developed at University Berkely in early 1970s20041992
Current release11.2, May 202217, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonCJava
Server operating systemshostedLinux
Unix
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011noyesnoyes
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
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Java
PHP
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyesyes, in C/C++, Java, .Net or Perl
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslynonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.noneIngres ReplicatornoneSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Google Cloud SpannerGraphiteIngresRDF4J infoformerly known as SesameSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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