It probably comes down to proven technology and reliability. I don't have
any statistics, but I can imagine certain use cases where these factors
(basically ACID) are key. In the world of banking or space for instance.
Sorry, I don't have specifics either, but a look in this direction seems
logical for me.

On Fri, Jul 31, 2015 at 11:13 PM, Eric24 <[email protected]> wrote:

> @Rolf: Yes, that's understood. :) What I'm looking for is specific
> use-cases where an RDBMS would be significantly preferred over a graph
> database. Almost to the point of "when would a graph database be a terrible
> choice?" As @neRok said, I'm having a hard time finding those "do not use!"
> use-cases (especially when it comes to OrientDB, being multi-modal). Of
> course there are lots of people that have been working with RDBMS for years
> (like myself) that say graphs aren't good for this-or-that, but so far,
> I've been able to easily come up with reasonable graph architectures for
> each of them, so I suspect many of those opinions are based on their
> comfort with RDBMS.
> --Eric
>
> On Friday, July 31, 2015 at 4:42:57 AM UTC-5, Rolf Streefkerk wrote:
>>
>> Common use cases can be; master data mangement graph mapped solutions
>> like Facebook (relationships), Twitter. Another use case can be logistics.
>> Basically from my limited understanding, if you have a data-model that
>> contains many relationships (1-N, N-N) graph databases are very efficient
>> because of the directly linking to entities. There's no requirement for
>> mapping tables to slow this down like in SQL.
>>
>>
>> On Friday, 31 July 2015 06:45:05 UTC+7, Eric24 wrote:
>>>
>>> I'm learning more and more about OrientDB and graph databases every day.
>>> One question that I've seen lots of conflicting comments about across the
>>> Internet is use-cases where SQL/RDBMS are preferred over a graph database
>>> (most of what I've seen uses Neo4j as their graph database "foil"). I'm an
>>> expert-level SQL developer (with 20+ years experience designing RDBMS
>>> databases, in the past 15 years or so primarily using MS SQL), so I have a
>>> very firm grasp of what is possible there and what limitations exist, but
>>> I'm only getting started on graph databases (and specifically OrientDB,
>>> which so far, I'm very impressed and intrigued by). So I'd love to hear
>>> some feedback from some experienced OrientDB users (and authors) on
>>> use-cases that you would recommend be done using RDBMS instead of graph
>>> (and specifically OrientDB), and why.
>>> --Eric
>>>
>>>

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