Hi Hank. I find it refreshing that authors of popular articles here have thick enough skin to be willing to engage the crowd. Welcome!
You said, "The problem is that relational databases (at least the ones that are available to us) are not at all fluid and flexible." Since I disagree with this and find you so eloquent in your arguments, I wonder if this debate is over "semantics". I don't know what you think is "available to us", but I have worked for ages with RDBMS that are so stunningly fluid and flexible, they have never failed to deliver what I needed for any app. Perhaps you haven't had the same opportunity (and joy). Remember, just because it's relational doesn't mean it has to be Microsoft, Oracle, or open source.
All of the products you list are variations of the original multivalued database designed by Dick Pick. These are often referred to as Pick- or Pick-style databases. Back in the 1970s and early 1980s there were several large vendors selling computers and operating systems based on the Pick database complete with a dialect of BASIC with the database functionality embedded. All of those companies went out of business a few years after the first commercial relational databases arrived on the market: Prime Computer, Microdata, Ultimate (owned by Honeywell), and a few others. IBM bought the most popular Pick clone, Universe, and renamed it U2. Raining Data is the result of a merger between what was left of Dick Pick's company and another non-relational desktop database, Omnis. jBase is yet another Pick clone.
I worked as a Pick consultant in the 1980s, mainly on Prime/Information systems. Now when I run into Pick databases still in use they are always undergoing or slated for replacement. The replacement is always a modern commercial RDBMS such as Oracle or MS SQL Server.
Technically Pick-style multivalued databases are not relational, but they can be made to act more or less like a relational database. The most important difference is the support for multivalued fields. Originally multivalued fields were the big selling point, and the Pick database engine is built around nested multivalued lists (a very different internal organization compared to, say, Oracle). Multivalues of course violate First Normal Form; a relation that includes a multivalued attribute cannot be said to be normalizable.
Pick-style multivalued databases violate the relational model (the model based on sets and predicate logic) in other ways that I won't get into; Chris Date and Fabian Pascal have written at some length on the subject.
That isn't to say this database model is useless or wrong, just that it isn't relational in a strict sense. I've written and worked on large applications built on the Pick database and, while I would not choose those tools today, they are certainly powerful and flexible enough to build real applications on. The flexibility Pick adherents enjoy has a dark side in that data integrity must, for the most part, be enforced in application code; Pick-style databases are especially prone to dangling keys and type mismatches. Pick-style database programming requires the application programmer to lock records (rows) explicitly; support for ACID-compliant transactions are non-existent or afterthought bolt-ons. Those can be pretty big problems for modern application architectures where the client and server are not running on the same minicomputer (a la Microdata and Prime).
Building a single application with a multivalued database can be "fluid and flexible" and maybe even faster than starting with a true relational database, but when multiple applications have to share a multivalued database and the integrity rules are therefore scattered across application domains and code things can get messy pretty fast. Anyone who has spent time migrating Pick applications to any other platforms knows how easily the mix of business logic and database manipulation in the same piece of code makes for a big bowl of spaghetti.
You said, "The problem is that relational databases (at least the ones that are available to us) are not at all fluid and flexible." Since I disagree with this and find you so eloquent in your arguments, I wonder if this debate is over "semantics". I don't know what you think is "available to us", but I have worked for ages with RDBMS that are so stunningly fluid and flexible, they have never failed to deliver what I needed for any app. Perhaps you haven't had the same opportunity (and joy). Remember, just because it's relational doesn't mean it has to be Microsoft, Oracle, or open source.
http://www-306.ibm.com/software/data/u2/
http://www.jbase.com/
http://www.rainingdata.com/products/dbms/index.html
http://www.revelation.com/