The Common Use Cases section demonstrates how developers use DataDirect products to address common but complex challenges when developing and deploying applications. In this section, you will learn about common usage scenarios, how other leading companies are saving time and money using DataDirect's products, and gain access to specific 'how-to' guides, performance information, code examples and more.
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Companies today are reducing costs - without sacrificing performance - by adopting the computing power of Linux-based servers and clusters. Linux provides a highly scalable, reliable and cost-effective platform for application development and deployment. Like UNIX developers before them, Linux developers have turned to ODBC for industry-standard data access. DataDirect Connect for ODBC provides Linux developers with the industry's most robust option for connecting applications to all major databases. Using unique clientless wire protocol architecture, Connect for ODBC provides simple, high performing and highly scalable data connectivity from Linux applications to Oracle, DB2, SQL Server, Sybase, Informix, and Progress.
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Microsoft SQL Server database is deployed in many organizations that run their applications on Java. JDBC provides a well tested industry standard for accessing data from any platform, regardless of where the application resides. DataDirect's Connect for JDBC for SQL Server provides developers the scalability, reliability and interoperability necessary for Java systems to access SQL Server.
Read on for topics on using JDBC with SQL Server including set-up guides, code examples, FAQ's and performance tips!
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Today's IT environments are more heterogeneous than ever. While UNIX is the primary application platform for many companies, critical data may be stored on a variety of platforms ranging from Microsoft SQL Server on Windows to IBM DB2 on the mainframe. DataDirect's Connect for ODBC on UNIX enables developers to connect their applications to the data they need – regardless of where it is stored. Click here to learn more.