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DBMS > Sadas Engine vs. Spark SQL

System Properties Comparison Sadas Engine vs. Spark SQL

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Our visitors often compare Sadas Engine and Spark SQL with Microsoft Azure Cosmos DB, Microsoft Azure SQL Database and Microsoft SQL Server.

Editorial information provided by DB-Engines
NameSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#354  Overall
#152  Relational DBMS
Score22.86
Rank#35  Overall
#21  Relational DBMS
Websitewww.sadasengine.comspark.apache.org/­sql
Technical documentationwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSADAS s.r.l.Apache Software Foundation
Initial release20062014
Current release8.03.2.0, October 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Scala
Server operating systemsAIX
Linux
Windows
Linux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardno

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More resources
Sadas EngineSpark SQL
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