Tuesday, January 10, 2012

SQL Server vs. Oracle Differences From a Developer's View

Over the past 2 1/2 years, I've been doing a lot of software development with Oracle as the RDBMS. After a decade of only working on development and BI projects with a SQL Server back end, I found myself primarily working on a quite large, already existing web application that uses Oracle as its RDBMS. Don't get me wrong, I'm still involved with the world of SQL Server. I still see it at work and, even more, I'm President of our local PASS chapter. I also did two years of speaking on SQL Server at various events and user groups during this time period.

As a software developer, though, I've found working with Oracle to be a great opportunity to become familiar with another leading RDBMS. When I started my current job, I was told that I'd be able to pick up Oracle quite quickly, given my strong data background. I'd like to think that I picked things up pretty quickly, but there are A LOT of best practices differences and, also, some capability differences that I needed to become aware of as a developer. Since, I haven't seen a lot of resources that put these differences together into one place, I decided to start this blog post series.

I hope to make this blog post series a resource for developers who are switching between T-SQL and PL/SQL. This is not intended to be a "which RDBMS is better?" conversation. I personally believe that there are multiple RDBMS solutions that have the capability to meet a variety of business needs. I hope this series will help developers shorten their learning curve between the two products. Note: At the writing of this post, SQL Server 2008 R2 is the latest officially released version of SQL Server. I have been keeping up with the upcoming T-SQL features for SQL Server 2012, though.

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