I published some slides about FoundationDB based on a presentation I have done in my company.
I had the following questions:
How does it compare to python
OrderedDict(which is the behavior of python’s
dictin Python 3.7). FDB key-value space is lexicographically ordered based on the comparison of the keys. It’s similar to this
SortedDict. It store bytes but provides a packing function for python data types that preserve ordering.
How does it compare to mongodb 3.2 / 3.4 and the upcoming 4.0 / 4.2. I think FDB is easier to operate and offers more / better guarantees but that’s a lot of hope more than actual experience.
ElasticSearch: in our case ES is used as an exact match and date range lookups and we use map/reduce for aggrgation. The advantage of FDB is that it doesn’t require to spread documents from the same collection into different indices / buckets (otherwise ES index becomes too big). Is that correct?
REDIS, that is a very different database and I replied that REDIS has still a place in our infrastructure (even if I won’t use REDIS in my personal projects)
Also I created a tiny layer called OMGNO using official Python bindings that one can use to do experiments.
edit: fixed omgno link