> With RDFLIB, how transparent is the access,

There are several ways to use Neptune with RDFlib, for example as a
back-end Store which is perhaps the most obvious/likely, but you could also
be using SPARQLWrapper [1] and sending SPARQL queries to Neptune that way
and just using RDFlib to parse RDF responses.

> Are you doing updates?

Store back-ends and SPARQLWrapper should allow for updates, both by using
SPARQL's UPDATE query.

> Using transactions?

RDFLib's SPARQLStore back-end supports transactions.

> How is the performance? Is there a performance of feature "hit" for going
through RDFLIB?

I've used RDFlib with Neptune but only to test things out and not enough to
make sensible comment on this. I guess also I'd need to know performance as
compared with what? Just lodging SPARQL queries in the Neptune native
system perhaps?

[1] https://github.com/RDFLib/sparqlwrapper/

Cheers,

Nick

On Sat, Jan 8, 2022 at 1:49 PM Jim Amsden <jimams...@gmail.com> wrote:

> Cory,
> I’ve made extensive use of the Python rdflib and have developed OSLC
> interfaces to do data science and analytics on jazz.net data. I found it
> full featured and easy to use. I have done many updates with it.
>
> On Jan 7, 2022, at 5:50 PM, Cory Casanave <cor...@modeldriven.com> wrote:
>
> We are interested in experience using AWS Neptune from Python with or
> without RDFLIB.
>
> With RDFLIB, how transparent is the access, e.g. can all of the functions
> be used or only query? Are you doing updates? Using transactions? How is
> the performance? Is there a performance of feature "hit" for going through
> RDFLIB?
>
> Without RDFLIB, what are you using to access Neptune? Same questions as
> above.
>
> Please feel free to add any pointers or context.
> Thanks in advance for any thoughts!
>
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