Wanted to ask if JuliaDB is something that might get more development attention? Or will that remain a community project? (I see it’s been in need of a release for awhile.)
It is not in our current set of major products. That said, informal office discussions mentioned JuliaDB as recently as last week, so it's not forgotten. If there's a demonstrated market, say a need for new high-performance cloud data science tools as part of the pharmaceutical domains we work in, then something like JuliaDB could possibly be revived in the future (of course, this is no guarantee).
In general, the community has discussed reviving the project (or at least the ideas and some of its codebase). Julia computing will also be contributing as part of that revival.
Thank you both for the comments. I believe I remember early on there were some comparisons to kdb+/q. I think there is some pretty great potential with an offering like this (an in-memory database integrated with the language, coupled with solid static storage) from the Julia community going forward. I can envision some use cases in genomics/transcriptomics.