MySQL Users: SELECT wait_and_see FROM Oracle Acquisition

Posted on by Darin Stahl

One of our clients recently expressed concerns about “the absorption of MySQL into the wheel house of Oracle”.  Fearing an expensive upgrade to Oracle Database would be the natural outcome of the acquisition the client was seeking guidance on the acquisition and possible alternatives.

We occasionally post highlights from a client/analyst conversation when we think you might also be able to benefit from the discussion. Here’s the summary of the conversation between the client and our Analyst:

First of all we don’t think the Oracle acquisition of SUN (and within that MySQL) presents any significant driver for existing MySQL customers to abandon ship within the near-term.  By near-term we are looking 36 months out only.   Beyond 36 months is outside any reasonable planning horizon for MySQL at this time.

In order to get the acquisition approved Oracle made binding commitments with the EU that ensure some protection of the investment in MySQL by customers.   Specifically the relevant commitments from Oracle are;

(Source:  http://www.oracle.com/us/corporate/press/042364 )

Based on these binding commitments  Info-Tech sees that  enterprises with existing MySQL implementations NOT having to immediately consider migration options.   However, we caution that 36 months out this could be a very different situation depending on how Oracle executes MySQL strategies with the larger OpenSource community and more specificallywith  its OEM partners.  We believe the most drastic changes will be felt by the OEM’s first and will trickle downward from there.   However internally with the MySQL team there will be change and upheaval (we’ve already seen Ken Jacobs leave Oracle as a result of management moves for the product) and for existing customers currently running with MySQL deployments  while an interesting side-show,  we don’t see that those high-level changes will have any immediate impact on them one way or the other.

PostgreSQL an alternative?

If the database decision is being made without a current implementation of MySQL and therefore the comparison to PostgreSQL is necessary then we suggest the following lens to examine the selection.   Of course, like many decisions/choices in the OpenSource world the positions staked-out by fans of either can become rather shrill and dogmatic.

Our high-level guidance is as follows;

Functionality/Speed

Customer’s in the past ( also numerous benchmark reports) will highlight that MySQL from a throughput perspective is speedier than PostgreSQL.  However, that is true only to a point.  For small databases without complex PROCS MySQL is faster.  When the size of the database becomes larger and more complex PROCS and QUERIES are being executed PostgreSQL (considering here the recent versions of the products) appears to our customers to be slightly faster due to the internal architecture.

There are new versions of both products available now therefore, the feature sets of the products should be examined directly using documentation available as Info-Tech hasn’t completed our in-depth comparison of the newest releases.  Info-Tech suggests visiting the following links but keep in mind your unique application and processing needs requirements – some of the advantages of one versus the other will obviously entirely depend on how the product is deployed and used in your enterprise setting.

PostgreSQL: Feature Matrix

MySQL 5.5 Reference Manual

Data Integrity /Scale

MySQL has in the past experienced known issues that impacted Data Integrity.  We’ve heard from Info-Tech customers who reported significant integrity issues with the MySQL product in previous releases and abandoned the product as a result.   In contrast we’ve heard no similar issues with reliability at a Product level (other than the usual ‘garbage in garbage out’ issues which would have plagued any RDMS product deployed in those settings)with PostgreSQL .   Overall,  our customer  feedback indicates that PostgreSQL provides much better tools and features to ensure data integrity of a production instance because the focus on integrity at a transaction level  rather than at a bulk or table level with MySQL (which is the reason why for smaller instances MySQL will perform faster).   MySQL gained significant functionally here with the integration of InnoDB but the benefits are primarily performance related and not contributors to transactional integrity.

Scalability – while there are some well documented ‘case studies’ of organizations who have massive amounts of data being administered with MySQL generally, speaking the customers we speak with have much larger datastores deployed with PostgreSQL.   PostgreSQL scales better because of its transaction level architecture (referencing here our customers citing of the robust Transaction locking).

MySQL appears to somewhat lag with scalability because of the way ‘storage engines’, hash indexes, and clustered primary keys are leveraged.  Those approaches do contribute to speed in smaller sets and simple queries but the bulk loading can cause performance issues at scale that can only be mitigated through ‘brute force’ with much larger/capable hardware.     So this is a cost consideration going forward.  For example,  an 800GB instance on MySQL with complex transactions being applied will need larger more expensive hardware than PostgreSQL based on what we’ve seen deployed in customer settings.

Support/install base

MySQL has a much larger install base and community due to the nature of the usage it’s suitable for  (websites, blogs, etc.).   PostgreSQL has for many years been leveraged within enterprise IT shops so the relative install base and available community would be somewhat smaller.

However, the types of issues and challenges you’re likely to face as an enterprise would be beyond the average type of deployment represented by the community for MySQL.   The PostgreSQL support knowledge available on the other hand is going to be predominately geared towards the real-world integration, scale and integrity issues faced by enterprise deployments.

Commercially available support for both products is fine and will support and enterprise well in either case.  Therefore, at the ‘free’ or community support layer; for an enterprise the advantage goes to PostgreSQL.  If you’re going to take the commercial support route then, the advantage there becomes less significant.

Bottom Line

See also:

MySQL 5.0: The DBMS That Would Be King

Include MS SQL Server 2008 in Consolidation Plans for Cost Reduction

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