J is another APL variant using ASCII instead of special symbols. You can easily label or rename any function to make it more readable, but it goes against the idea of learning the symbols for conciseness ala mathematical symbols. There is a recent blog entry about using J for spectral clustering in quantitative neuroscience [1]

I am now very comfortable with J, and I am checking out ELI for comparison. I like the idea of the compiler, however, in J the math routines are very fast, well-crafted c libraries, so the interpreter is very fast with results.

[1] http://procyonic.org/blog/?p=98

Check out Q from Kx Systems. It uses an SQL-like dialect but is still powerful and expressive. Here are some simple example programs: http://code.kx.com/wiki/Sample_Queries

I have seen this before, but now I do the tutorial and the experience was not as bad as I have imagined.

I hope to draw some idead from it (I'm triying to build a relational language)

Keep me in the loop as you work on your project. I think the world has a lot to learn from array languages, and there still isn't a strong open source option. Contact info in profile.