Ask HN: Interest in a new open source, fast, in-memory, data analysis system?

Over the past few months I have been experimenting with building a fast, distributed, in-memory, append-only database designed for analytics. The idea being that many No-SQL databases are pretty terrible at ad-hoc querying, and while ordinary relational databases provide good support for ad-hoc queries, their performance leaves a lot to be desired for large data sets. Basically an open source Vertica / KDB.

The system will accept data over HTTP (as JSON / CSV) and can be queried in either SQL, or an SQL like language, with full support for joins, sub-queries and aggregations, with output as CSV or JSON over HTTP.

The idea being that you can fire of a JSON request to your analytics database whenever something happens (be it a signup, purchase, click, etc) and have that data captured, ready for use in your dashboards or for ad-hoc querying. The system will also be able to integrate with R for statistical fanciness.

If such a system existed, would you use it?

I will probably continue working on it regardless of any feedback (because its fun!), but I'll spend more time on it if its something people feel they might use.

If you would like to develop it too (using a combination of C for data manipulation and go-lang for everythign else), send me an email.