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Daniel,

On 6/3/19 16:26, Davis, Daniel (NIH/NLM) [C] wrote:
> I think the sweet spot of Cassandra and Solr should be mentioned
> in this discussion.   Cassandra is more scalable/clusterable than
> an RDBMS, without losing all of the structure that is desirable in
> an RDBMS.

Amusingly enough, there is also Solandra if you don't want to choose :)

https://github.com/tjake/Solandra

It's a lot like DataStax.

> In contrast, if you use a full document store such as MongoDB, you 
> lose some of the abilities to know what is in your schema.
> 
> DataStax markets a platform that combines Cassandra (as a
> distributed replacement for an RDBMS) that is integrated with Solr
> so that records in managed in Cassandra are indexed and
> up-to-date.
> 
> If your real problem with an RDBMS is the lack of scaling, but you 
> like the ability to specify columnar structure explicitly, then
> this combination might be a good fit.
> 
> Now, MongoDB is also a strong alternative to an RDBMS.
> 
> The other thing to recall though is that the power of sharding has 
> reached into the databases themselves, and databases such as 
> PostgreSQL can operate with some tables sharded and other tables 
> duplicated.   See
> https://pgdash.io/blog/postgres-11-sharding.html.

Even MySQL and MariaDB -- the most bare-bones solutions in the RDBMS
space -- now have clustering available to them, to it's hard to defend
an RDBMS solution at this point that does NOT provide clustering, or
something similar.

- -chris
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