_When we started on our journey of designing our SwitchCRM application that offered a fantastically intuitive user interface, delivered by a robust and resilient technical architecture, we eventually arrived at the technology crossroads of choosing a database. Having spent 14 years working in an environment surrounded by Oracle technology, the natural inclination was to pick Oracle as a tried, tested and familiar option. We defined in detail our database requirements and embarked on our research to establish whether there were other options out there. To our great delight and surprise it was clear that MySQL was emerging as a very strong contender. _Think Oracle database and you automatically associate the following:
1. This may seem trivial but coming from an Oracle background it was an absolute delight to discover that the data retrieval in MySQL was case insensitive. This meant gone were the days of users having to try various combinations of %Jo%, %jo% for retrieving John. This can be achieved by Oracle pragmatically but we were pleased to see this as an inherent feature (accidental design?) in MySQL. 2. Oracle pricing. Has anyone seen the recent price list for Oracle products? It seems to have jumped at least 5 times in 5 years. Every feature seems to come with an expensive price tag. And just when you think you are covered because you shrewdly purchased Oracle Database Enterprise Edition they throw a curve ball by pointing out that Partitioning is an additional extra. Don't get me started on licensing... 3. Industry standard support for Enterprise Edition MySQL from Oracle is very re-assuring. Support costs for MySQL Enterprise Edition are far more sensible then their Oracle equivalent. In the end the decision was simple. MySQL was the clear winner based on ease of installation and maintenance, performance, resilience and many development friendly features. Oh yes and there’s the small matter of cost. CommentsDave Malcolm 16/11/2011 11:34
That's an interesting analysis. Did you find that MySQL scaled well with larger data volumes (I'm assuming that you used the commercial version rather than the community one)
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16/11/2011 12:08
Thanks for your comments Dave.
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