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DBMS > Apache Spark (SQL) vs. Microsoft Azure Synapse Analytics vs. Valentina Server

System Properties Comparison Apache Spark (SQL) vs. Microsoft Azure Synapse Analytics vs. Valentina Server

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.62
Rank#29  Overall
#18  Relational DBMS
Score14.22
Rank#37  Overall
#23  Relational DBMS
Score0.23
Rank#302  Overall
#136  Relational DBMS
Websitespark.apache.org/­sqlazure.microsoft.com/­services/­synapse-analyticswww.valentina-db.net
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.microsoft.com/­azure/­synapse-analyticsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software FoundationMicrosoftParadigma Software
Initial release201420161999
Current release3.5.0 ( 2.13), September 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeyesyesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
ODBC
Supported programming languagesJava
Python
R
Scala
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 nodesyes, utilizing Spark CoreSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono 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 datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoyesfine grained access rights according to SQL-standard

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More resources
Apache Spark (SQL)Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseValentina Server
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