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DBMS > Apache Kylin vs. Google Cloud Spanner vs. Microsoft Azure Synapse Analytics vs. Valentina Server

System Properties Comparison Apache Kylin vs. Google Cloud Spanner vs. Microsoft Azure Synapse Analytics vs. Valentina Server

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA 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 ServerObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitekylin.apache.orgcloud.google.com/­spannerazure.microsoft.com/­services/­synapse-analyticswww.valentina-db.net
Technical documentationkylin.apache.org/­docscloud.google.com/­spanner/­docsdocs.microsoft.com/­azure/­synapse-analyticsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation, originally contributed from eBay IncGoogleMicrosoftParadigma Software
Initial release2015201720161999
Current release3.1.0, July 20205.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinuxhostedhostedLinux
OS X
Windows
Data schemeyesyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yes infoQuery statements complying to ANSI 2011yesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
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
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C#
Java
PHP
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoTransact SQLyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesfine grained access rights according to SQL-standard

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More resources
Apache KylinGoogle Cloud SpannerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseValentina Server
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