DBMS > Blueflood vs. Microsoft SQL Server vs. Spark SQL
System Properties Comparison Blueflood vs. Microsoft SQL Server vs. Spark SQL
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|Editorial information provided by DB-Engines|
|Name||Blueflood Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||Spark SQL Xexclude from comparison|
|Description||Scalable TimeSeries DBMS based on Cassandra||Microsofts flagship relational DBMS||Spark SQL is a component on top of 'Spark Core' for structured data processing|
|Primary database model||Time Series DBMS||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||Rackspace||Microsoft||Apache Software Foundation|
|Current release||SQL Server 2019, November 2019||3.2.0, October 2021|
|License Commercial or Open Source||Open Source Apache 2.0||commercial restricted free version is 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|
|Data scheme||predefined scheme||yes||yes|
|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.||no||yes||no|
|SQL Support of SQL||no||yes||SQL-like DML and DDL statements|
|APIs and other access methods||HTTP REST||ADO.NET|
Tabular Data Stream (TDS)
|Supported programming languages||C#|
|Server-side scripts Stored procedures||no||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding based on Cassandra||tables can be distributed across several files (horizontal partitioning); sharding through federation||yes, utilizing Spark Core|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor based on Cassandra||yes, but depending on the SQL-Server Edition||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency based on Cassandra|
Immediate Consistency based on Cassandra
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||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.||no||yes||no|
|User concepts Access control||no||fine grained access rights according to SQL-standard||no|
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|Related products and services|
|3rd parties||SQL Complete: An advanced IntelliSense-style code completion add-in for SSMS and Visual Studio. Write, beautify, refactor your SQL code and give your productivity a dramatic boost.|
Navicat for SQL Server gives you a fully graphical approach to database management and development.
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.
Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
|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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|Blueflood||Microsoft SQL Server||Spark SQL|
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