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ODBC accomplishes DBMS independence by using an ODBC driver as a translation layer between the application and the DBMS. The application uses ODBC functions through an ODBC driver manager with which it is linked, and the driver passes the query to the DBMS. An ODBC driver can be thought of as analogous to a printer driver or other driver ...
Connection pooling is a technique designed to alleviate this problem. A pool of database connections can be created and then shared among the applications that need to access the database. The connection object obtained from the connection pool is often a wrapper around the actual database connection.
MySQL Connector/ODBC, once known as MyODBC, is computer software from Oracle Corporation. It is an ODBC interface and allows programming languages that support the ODBC interface to communicate with a MySQL database.
The driver that Microsoft provides in MDAC is called the SQL Server ODBC Driver (SQLODBC), and (as the name implies) is designed for Microsoft's SQL Server. It supports SQL Server v6.5 and upwards. [3] ODBC allows programs to use SQL requests that will access databases without having to know the proprietary interfaces to the databases. It ...
Yes - Import Database from server/ODBC Yes - Export SQL No No MySQL Workbench: Yes Yes Yes Yes - CSV, HTML, JSON, MS Excel, SQL INSERTS, Tab-separated, XML: Yes - CSV, HTML, JSON, MS Excel, SQL INSERTS, Tab-separated, XML: Yes No Oracle SQL Developer: Yes Yes Yes Yes Yes Yes Yes Yes pgAdmin: Yes Yes No CSV, Text, or binary CSV, text, HTML, XML ...
Drill itself can be queried via JDBC, ODBC, or REST through a variety of methods and languages including Python and Java. The default install includes a web interface allowing end-users to execute ANSI SQL directly and export data tables as CSV files without any programming.
Spark SQL provides a domain-specific language (DSL) to manipulate DataFrames in Scala, Java, Python or .NET. [16] It also provides SQL language support, with command-line interfaces and ODBC/JDBC server. Although DataFrames lack the compile-time type-checking afforded by RDDs, as of Spark 2.0, the strongly typed DataSet is fully supported by ...
It allows applications to store standard C++, C#, Java, or Python objects persistently, without converting them into the rows and columns used by a relational database management system (RDBMS). Objectivity/DB supports popular object-oriented languages as well as SQL/ODBC and XML.