DBMS > Microsoft SQL Server vs. Sadas Engine vs. Spark SQL
System Properties Comparison Microsoft SQL Server vs. Sadas Engine vs. Spark SQL
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|Editorial information provided by DB-Engines|
|Name||Microsoft SQL Server Xexclude from comparison||Sadas Engine Xexclude from comparison||Spark SQL Xexclude from comparison|
|Description||Microsofts flagship relational DBMS||SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments||Spark SQL is a component on top of 'Spark Core' for structured data processing|
|Primary database model||Relational DBMS||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||Microsoft||SADAS s.r.l.||Apache Software Foundation|
|Current release||SQL Server 2019, November 2019||8.0||3.2.0, October 2021|
|License Commercial or Open Source||commercial restricted free version is available||commercial free trial version available||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes||no||no|
|SQL Support of SQL||yes||yes||SQL-like DML and DDL statements|
|APIs and other access methods||ADO.NET|
Tabular Data Stream (TDS)
|Supported programming languages||C#|
|Server-side scripts Stored procedures||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||no||no|
|Partitioning methods Methods for storing different data on different nodes||tables can be distributed across several files (horizontal partitioning); sharding through federation||horizontal partitioning||yes, utilizing Spark Core|
|Replication methods Methods for redundantly storing data on multiple nodes||yes, but depending on the SQL-Server Edition||none||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes managed by 'Learn by Usage'||no|
|User concepts Access control||fine grained access rights according to SQL-standard||Access rights for users, groups and roles according to SQL-standard||no|
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|3rd parties||Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.|
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|SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.|
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|Microsoft SQL Server||Sadas Engine||Spark SQL|
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