Do XML-based Databases Live Up to the Hype?
douthitb asks: "I have recently started work as a contractor with a company developing/improving an application for exchanging large amounts of data. The current solution exchanges data via XML, but the data itself is stored in a SQL Server database. There is a concern about the overhead involved with wrapping and unwrapping the XML to get the data in and out of a relational database. The proposed solution is to use Tamino, an XML-based database. Neither I nor any of the other developers have any experience with Tamino, but the desired result is to remove the bottleneck of converting the XML back and forth. Does anyone have experience using Tamino (or any other XML-based database)? What benefits and/or difficulties did you have in using an XML database, as opposed to its relational counterpart? How large of a learning curve should be expected with a product like this? Do XML databases really live up to the hype? A similar topic was discussed on Slashdot way back when, so I was hoping to get some more up-to-date feedback on the subject."
"Sales reps from Software AG, the makers of Tamino, were brought in to discuss the benefits of their product with us. They, of course, presented Tamino as the end all, cure all database system (it will even clear your acne and make you popular with the girls!). The management of the company I'm contracting with were basically eating out of the sales reps' hands, without asking any of the "tough" questions about what the product can do; I was less convinced. Doing some initial searching on the Internet, I have had trouble finding much information about Tamino outside of the Software AG website."
Oracle and XSQL/XSLT works fine for the database we use at work. The overhead of wrapping and unwrapping the data doesn't seem to be any problem.
XML is kinda nice for some things, and really rotten for some things. Please do yourself a favor and sit down and try to decide what problem you are trying to solve. XML really stinks when it comes to sets: something that SQL based databses excel at.
I think that with the XML fetish we have these days, that we are reverting to the preSQL days of CODASYL or IMS (pre 1980s for those of you young'uns).
A few years back, I was brought in to a small company to build their new software on top of the Tamino DB. XML was "the way of the future" and we were asked to use it as much as we could. Software AG promised that everything would be easy to program and that their software functioned perfectly. Software AG's sales rep used the fact that Tamino was used in production by (insert major national company here) as a major selling argument. I later found out from a friend working there that they had only evaluated Tamino, found it useless, and never used it in production.
...) We couldn't even get a reliable unique key from the database. The id we did get "could change" if we were to backup and restore the database. Tamino also scaled very badly with simple queries taking up to a minute on the fastest PC we could buy.
Well, we did finish the software on time, but it was a complete nightmare. Software AG hardly gave us any straight answers (even though they charged big $ for customer support).
Tamino itself was missing a lot of features and seemed designed as a system for storing documents, totally lacking traditional database qualities (uniqueness, reliability, scalability,
Needless to say, the software was thrown away and rebuilt with a reliable SQL database.
I would strongly discourage anyone from bilding an application on top of an xml database, especially Tamino. If you really want to build your application on top of an xml database, I would seriously ask myself why and what difference it would make. Also, if you really need an xml interface, choose an ordinary sql db that has a xml plugin.
In case anybody is interested, here are some suggestions for making a more relational-friendly alternative to XML, Here is a wiki topic.
Another potential problem is that existing RDBMS tend to be strong-typed. However, "dynamic relational" is not out of the question. Just because current RDBMS are strong-typed and have "static schemas" does not mean that is the only way to do it. There is a distinction between limits of implementations and limits of relational theory.
Table-ized A.I.