DBMS > Spark SQL
Spark SQL System Properties
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|Editorial information provided by DB-Engines|
|Description||Spark SQL is a component on top of 'Spark Core' for structured data processing|
|Database model||Relational DBMS|
|Developer||Apache Software Foundation|
|Current release||v2.1.0, December 2016|
|License Commercial or Open Source||Open Source Apache 2.0|
|Cloud-based Only available as a cloud service||no|
|Implementation language||Scala, Java,Python, R|
|Server operating systems||Linux|
|Typing predefined data types such as float or date||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|
|SQL Support of (almost full) SQL standard (DML, DDL and DCL statements)||no Queries similar to SQL syntax|
|APIs and other access methods||JDBC|
|Supported programming languages||Java|
|Server-side scripts Stored procedures||no|
|Partitioning methods Methods for storing different data on different nodes||yes, utilizing Spark Core|
|Replication methods Methods for redundantly storing data on multiple nodes||none|
|Foreign keys Referential integrity||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
|User concepts Access control||no|
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