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DBMS > AgensGraph vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. SAP SQL Anywhere

System Properties Comparison AgensGraph vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA 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.Database as a Service offering with high compatibility to Microsoft SQL ServerRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitebitnine.net/­agensgraphcloud.google.com/­spannerazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationbitnine.net/­documentationcloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperBitnine Global Inc.GoogleMicrosoftSAP infoformerly Sybase
Initial release2016201720101992
Current release2.1, December 2018V1217, July 2015
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemsLinux
OS X
Windows
hostedhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011yesyes
APIs and other access methodsCypher Query Language
JDBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoTransact SQLyes, in C/C++, Java, .Net or Perl
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication with 3 replicas for regional instances.yes, with always 3 replicas availableSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AgensGraphGoogle Cloud SpannerMicrosoft Azure SQL Database infoformerly SQL AzureSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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