About the topic of this thread

According to  https://db-engines.com/en/ranking the top 10 databases is:

Based on this it very clear SQL support is the big name.

There is ElasticSearch, MongoDB and REDIS.

My knowledge of ElasticSearch is not good enough to tell whether

it can share a similar interface to SQL DBs, I would say it depends

of the interface. I would say "maybe yes" if we exclude the query

language from the specification.

Similarly, MongoDB works using the same principles as SQL when

you consider that it it takes a query as input and outputs a list of objects.

Unlike SQL objects are free-form.

Regarding REDIS, my point of view is that it would be a mistake to

standardize a REDIS interface because REDIS is basically those things:

1) In memory datastructures hosted in a hash-table

2) publish-subscribe server

3) master-slave replication

4) persistence via memory dump or messages replay

5) LUA scripting

6) Distributed lock (called red lock)

7) Time based key eviction algorithm (best effort)

I have been a long time advocate against the use of REDIS. The most tooted

advantage of REDIS is that it is fast. It is fast because it is stored in memory.

And if you abuse the REDIS commands network overhead it will kill performance.

My point is if you want to offer a good story for what REDIS does, it will be best

to work on a good network socket SRFI.