![]() Source-replica replication Multi-source replication NET languages, R, Python and (with SQL Server 2019) Java yes proprietary syntax PL/SQL also stored procedures in Java possible Triggers yes yes yes Partitioning methods Methods for storing different data on different nodes tables can be distributed across several files (horizontal partitioning) sharding through federation horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric Sharding, horizontal partitioning Replication methods Methods for redundantly storing data on multiple nodes yes, but depending on the SQL-Server Edition Multi-source replication Visual Basic Server-side scripts Stored procedures Transact SQL. Oracle Call Interface (OCI) Supported programming languages C# yes yes yes Secondary indexes yes yes yes SQL Support of SQL yes yes with proprietary extensions yes with proprietary extensions APIs and other access methods ADO.NET support for XML data structures, and/or support for XPath, XQuery or XSLT. Z/OS Data scheme yes yes yes Schemaless in JSON and XML columns Typing predefined data types such as float or date yes yes yes XML support Some form of processing data in XML format, e.g. Implementation language C++ C and C++ C and C++ Server operating systems Linux Predictably scale, increase workflow velocity, and deploy features with zero downtime.
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