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DBMS > Google Cloud Spanner vs. Microsoft Azure Synapse Analytics vs. SAP IQ vs. Tkrzw

System Properties Comparison Google Cloud Spanner vs. Microsoft Azure Synapse Analytics vs. SAP IQ vs. Tkrzw

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerColumnar RDBMS optimized for Big Data analyticsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSRelational DBMS infocolumn-orientedKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score2.56
Rank#106  Overall
#52  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitecloud.google.com/­spannerazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmldbmx.net/­tkrzw
Technical documentationcloud.google.com/­spanner/­docsdocs.microsoft.com/­azure/­synapse-analyticshelp.sap.com/­docs/­SAP_IQ
DeveloperGoogleMicrosoftSAP, formerly SybaseMikio Hirabayashi
Initial release2017201619942020
Current release16.1 SPS04, April 20190.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yesyesno
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
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C#
Java
PHP
C
C#
C++
Java
Perl
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoTransact SQLyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningshared disk or shared nothing architectures with SAP IQ Multiplexernone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yesSAP/Sybase Replication Servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud DataflownoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID 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 infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesfine grained access rights according to SQL-standardno

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More resources
Google Cloud SpannerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP IQ infoformer name: Sybase IQTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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